Overview

Brought to you by YData

Dataset statistics

Number of variables52
Number of observations729
Missing cells18.335
Missing cells (%)48.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory2.7 KiB

Variable types

Unsupported8
Text11
URL11
Categorical9
Numeric10
DateTime3

Alerts

show_average_runtime is highly overall correlated with show_runtimeHigh correlation
show_id is highly overall correlated with show_thetvdb and 1 other fieldsHigh correlation
show_language is highly overall correlated with show_network_country_code and 5 other fieldsHigh correlation
show_network_country_code is highly overall correlated with show_language and 7 other fieldsHigh correlation
show_network_country_name is highly overall correlated with show_language and 7 other fieldsHigh correlation
show_network_country_timezone is highly overall correlated with show_language and 7 other fieldsHigh correlation
show_network_id is highly overall correlated with show_rating_average and 1 other fieldsHigh correlation
show_rating_average is highly overall correlated with show_network_idHigh correlation
show_runtime is highly overall correlated with show_average_runtimeHigh correlation
show_status is highly overall correlated with show_network_country_code and 2 other fieldsHigh correlation
show_thetvdb is highly overall correlated with show_id and 1 other fieldsHigh correlation
show_tvrage is highly overall correlated with show_network_country_code and 4 other fieldsHigh correlation
show_webChannel_country_code is highly overall correlated with show_language and 6 other fieldsHigh correlation
show_webChannel_country_name is highly overall correlated with show_language and 6 other fieldsHigh correlation
show_webChannel_country_timezone is highly overall correlated with show_language and 6 other fieldsHigh correlation
show_webChannel_id is highly overall correlated with show_webChannel_country_code and 2 other fieldsHigh correlation
show_weight is highly overall correlated with show_idHigh correlation
image has 729 (100.0%) missing valuesMissing
summary has 455 (62.4%) missing valuesMissing
show_language has 47 (6.4%) missing valuesMissing
show_runtime has 586 (80.4%) missing valuesMissing
show_average_runtime has 62 (8.5%) missing valuesMissing
show_ended has 545 (74.8%) missing valuesMissing
show_official_site has 82 (11.2%) missing valuesMissing
show_schedule_time has 501 (68.7%) missing valuesMissing
show_rating_average has 601 (82.4%) missing valuesMissing
show_network has 729 (100.0%) missing valuesMissing
show_webChannel_id has 22 (3.0%) missing valuesMissing
show_webChannel_name has 22 (3.0%) missing valuesMissing
show_webChannel_country_name has 296 (40.6%) missing valuesMissing
show_webChannel_country_code has 296 (40.6%) missing valuesMissing
show_webChannel_country_timezone has 296 (40.6%) missing valuesMissing
show_webChannel_officialSite has 180 (24.7%) missing valuesMissing
_embedded.show.dvdCountry has 729 (100.0%) missing valuesMissing
show_tvrage has 706 (96.8%) missing valuesMissing
show_thetvdb has 208 (28.5%) missing valuesMissing
show_imdb has 357 (49.0%) missing valuesMissing
show_image_medium has 33 (4.5%) missing valuesMissing
show_image_original has 33 (4.5%) missing valuesMissing
show_summary has 97 (13.3%) missing valuesMissing
show_image has 729 (100.0%) missing valuesMissing
show_nextepisode_href has 665 (91.2%) missing valuesMissing
show_nextepisode_name has 665 (91.2%) missing valuesMissing
image.medium has 470 (64.5%) missing valuesMissing
image.original has 470 (64.5%) missing valuesMissing
show_network_id has 676 (92.7%) missing valuesMissing
show_network_name has 676 (92.7%) missing valuesMissing
show_network_country_name has 676 (92.7%) missing valuesMissing
show_network_country_code has 676 (92.7%) missing valuesMissing
show_network_country_timezone has 676 (92.7%) missing valuesMissing
show_network_official_site has 711 (97.5%) missing valuesMissing
show_webChannel has 729 (100.0%) missing valuesMissing
show_webChannel_country has 729 (100.0%) missing valuesMissing
show_dvdCountry_name has 725 (99.5%) missing valuesMissing
show_dvdCountry_code has 725 (99.5%) missing valuesMissing
show_dvdCountry_timezone has 725 (99.5%) missing valuesMissing
show_url has unique valuesUnique
show_updated has unique valuesUnique
show_self_href has unique valuesUnique
show_previousepisode_href has unique valuesUnique
show_id has unique valuesUnique
image is an unsupported type, check if it needs cleaning or further analysisUnsupported
show_genres is an unsupported type, check if it needs cleaning or further analysisUnsupported
show_schedule_days is an unsupported type, check if it needs cleaning or further analysisUnsupported
show_network is an unsupported type, check if it needs cleaning or further analysisUnsupported
_embedded.show.dvdCountry is an unsupported type, check if it needs cleaning or further analysisUnsupported
show_image is an unsupported type, check if it needs cleaning or further analysisUnsupported
show_webChannel is an unsupported type, check if it needs cleaning or further analysisUnsupported
show_webChannel_country is an unsupported type, check if it needs cleaning or further analysisUnsupported
show_weight has 16 (2.2%) zerosZeros

Reproduction

Analysis started2025-03-31 13:49:10.784339
Analysis finished2025-03-31 13:49:21.877494
Duration11.09 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

image
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing729
Missing (%)100.0%
Memory size11.4 KiB

summary
Text

MISSING 

Distinct274
Distinct (%)100.0%
Missing455
Missing (%)62.4%
Memory size113.8 KiB
2025-03-31T08:49:22.025728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length2.299
Median length291
Mean length232.72263
Min length27

Characters and Unicode

Total characters63.766
Distinct characters128
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)100.0%

Sample

1st row<p>Lovers Alyona and Zakhar are preparing for the wedding, but she is tormented by doubts. The groom arranges a bachelor party for friends Igor, Yura and Max.</p>
2nd row<p>Lulin's astrawave powers arrive with a bang, blowing up her team's science project, and her friend, Spider, gets eaten by a giant alien plant!</p><p> </p><p><br /> </p>
3rd row<p>The Knights receive two unexpected visitors, Whitney makes a shocking discovery, and Yolande agrees to keep a secret.</p>
4th row<p>Reaching breaking point, Lydia takes matters into her own hands. Meanwhile, it becomes apparent that all isn't well with Kim, and Alex experiences a setback.</p>
5th row<p>Elliot and Helen travel to Ireland to find answers about Elliot's past. But after Elliot is violently kidnapped, they must each continue their dangerous search alone.</p>
ValueCountFrequency (%)
the 566
 
5.4%
and 346
 
3.3%
a 341
 
3.3%
to 295
 
2.8%
of 237
 
2.3%
in 165
 
1.6%
with 121
 
1.2%
is 120
 
1.1%
for 100
 
1.0%
on 89
 
0.9%
Other values (4092) 8086
77.3%
2025-03-31T08:49:22.315492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10160
15.9%
e 5912
 
9.3%
a 4083
 
6.4%
t 4006
 
6.3%
n 3604
 
5.7%
i 3536
 
5.5%
o 3497
 
5.5%
s 3317
 
5.2%
r 3025
 
4.7%
h 2409
 
3.8%
Other values (118) 20217
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 47932
75.2%
Space Separator 10192
 
16.0%
Uppercase Letter 2254
 
3.5%
Other Punctuation 1774
 
2.8%
Math Symbol 1226
 
1.9%
Decimal Number 212
 
0.3%
Dash Punctuation 137
 
0.2%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%
Currency Symbol 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5912
12.3%
a 4083
 
8.5%
t 4006
 
8.4%
n 3604
 
7.5%
i 3536
 
7.4%
o 3497
 
7.3%
s 3317
 
6.9%
r 3025
 
6.3%
h 2409
 
5.0%
l 1915
 
4.0%
Other values (53) 12628
26.3%
Uppercase Letter
ValueCountFrequency (%)
T 232
 
10.3%
A 191
 
8.5%
S 188
 
8.3%
C 150
 
6.7%
M 140
 
6.2%
B 117
 
5.2%
D 99
 
4.4%
J 94
 
4.2%
G 91
 
4.0%
W 90
 
4.0%
Other values (21) 862
38.2%
Other Punctuation
ValueCountFrequency (%)
. 556
31.3%
, 536
30.2%
/ 309
17.4%
' 213
 
12.0%
" 48
 
2.7%
! 40
 
2.3%
? 29
 
1.6%
; 19
 
1.1%
: 16
 
0.9%
& 3
 
0.2%
Other values (2) 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 50
23.6%
2 36
17.0%
1 35
16.5%
4 26
12.3%
9 18
 
8.5%
3 15
 
7.1%
6 11
 
5.2%
5 10
 
4.7%
7 6
 
2.8%
8 5
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 126
92.0%
7
 
5.1%
4
 
2.9%
Space Separator
ValueCountFrequency (%)
10160
99.7%
  32
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 613
50.0%
> 613
50.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
80.0%
£ 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 50023
78.4%
Common 13580
 
21.3%
Cyrillic 163
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5912
11.8%
a 4083
 
8.2%
t 4006
 
8.0%
n 3604
 
7.2%
i 3536
 
7.1%
o 3497
 
7.0%
s 3317
 
6.6%
r 3025
 
6.0%
h 2409
 
4.8%
l 1915
 
3.8%
Other values (53) 14719
29.4%
Common
ValueCountFrequency (%)
10160
74.8%
< 613
 
4.5%
> 613
 
4.5%
. 556
 
4.1%
, 536
 
3.9%
/ 309
 
2.3%
' 213
 
1.6%
- 126
 
0.9%
0 50
 
0.4%
" 48
 
0.4%
Other values (24) 356
 
2.6%
Cyrillic
ValueCountFrequency (%)
н 18
 
11.0%
е 14
 
8.6%
о 13
 
8.0%
а 12
 
7.4%
с 12
 
7.4%
т 12
 
7.4%
и 11
 
6.7%
ь 8
 
4.9%
р 7
 
4.3%
в 6
 
3.7%
Other values (21) 50
30.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63541
99.6%
Cyrillic 163
 
0.3%
None 49
 
0.1%
Punctuation 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10160
16.0%
e 5912
 
9.3%
a 4083
 
6.4%
t 4006
 
6.3%
n 3604
 
5.7%
i 3536
 
5.6%
o 3497
 
5.5%
s 3317
 
5.2%
r 3025
 
4.8%
h 2409
 
3.8%
Other values (71) 19992
31.5%
None
ValueCountFrequency (%)
  32
65.3%
ö 2
 
4.1%
å 2
 
4.1%
í 2
 
4.1%
á 2
 
4.1%
é 2
 
4.1%
ř 1
 
2.0%
£ 1
 
2.0%
ć 1
 
2.0%
æ 1
 
2.0%
Other values (3) 3
 
6.1%
Cyrillic
ValueCountFrequency (%)
н 18
 
11.0%
е 14
 
8.6%
о 13
 
8.0%
а 12
 
7.4%
с 12
 
7.4%
т 12
 
7.4%
и 11
 
6.7%
ь 8
 
4.9%
р 7
 
4.3%
в 6
 
3.7%
Other values (21) 50
30.7%
Punctuation
ValueCountFrequency (%)
7
53.8%
4
30.8%
2
 
15.4%

show_url
URL

UNIQUE 

Distinct729
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
https://www.tvmaze.com/shows/75220/sues-places
 
1
https://www.tvmaze.com/shows/51908/neznost
 
1
https://www.tvmaze.com/shows/59205/predposlednaa-instancia
 
1
https://www.tvmaze.com/shows/59484/manuna
 
1
https://www.tvmaze.com/shows/72871/nedetskoe-kino
 
1
Other values (724)
724 
ValueCountFrequency (%)
https://www.tvmaze.com/shows/75220/sues-places 1
 
0.1%
https://www.tvmaze.com/shows/51908/neznost 1
 
0.1%
https://www.tvmaze.com/shows/59205/predposlednaa-instancia 1
 
0.1%
https://www.tvmaze.com/shows/59484/manuna 1
 
0.1%
https://www.tvmaze.com/shows/72871/nedetskoe-kino 1
 
0.1%
https://www.tvmaze.com/shows/73221/uspesnyj 1
 
0.1%
https://www.tvmaze.com/shows/73590/kak-druza-zahara-zenili 1
 
0.1%
https://www.tvmaze.com/shows/73893/imperatricy 1
 
0.1%
https://www.tvmaze.com/shows/73780/planet-lulin 1
 
0.1%
https://www.tvmaze.com/shows/53123/argang-20 1
 
0.1%
Other values (719) 719
98.6%
ValueCountFrequency (%)
https 729
100.0%
ValueCountFrequency (%)
www.tvmaze.com 729
100.0%
ValueCountFrequency (%)
/shows/75220/sues-places 1
 
0.1%
/shows/51908/neznost 1
 
0.1%
/shows/59205/predposlednaa-instancia 1
 
0.1%
/shows/59484/manuna 1
 
0.1%
/shows/72871/nedetskoe-kino 1
 
0.1%
/shows/73221/uspesnyj 1
 
0.1%
/shows/73590/kak-druza-zahara-zenili 1
 
0.1%
/shows/73893/imperatricy 1
 
0.1%
/shows/73780/planet-lulin 1
 
0.1%
/shows/53123/argang-20 1
 
0.1%
Other values (719) 719
98.6%
ValueCountFrequency (%)
729
100.0%
ValueCountFrequency (%)
729
100.0%
Distinct727
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
2025-03-31T08:49:22.553370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length63
Median length40
Mean length17.209877
Min length2

Characters and Unicode

Total characters12.546
Distinct characters170
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique725 ?
Unique (%)99.5%

Sample

1st rowНежность
2nd rowПредпоследняя инстанция
3rd rowМанюня
4th rowНедетское кино
5th rowУспешный
ValueCountFrequency (%)
the 112
 
5.1%
of 39
 
1.8%
with 21
 
1.0%
a 20
 
0.9%
love 17
 
0.8%
17
 
0.8%
and 15
 
0.7%
you 12
 
0.5%
no 12
 
0.5%
in 12
 
0.5%
Other values (1471) 1907
87.3%
2025-03-31T08:49:22.892675image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1455
 
11.6%
e 1088
 
8.7%
a 739
 
5.9%
n 645
 
5.1%
o 644
 
5.1%
i 624
 
5.0%
r 576
 
4.6%
t 511
 
4.1%
s 467
 
3.7%
h 357
 
2.8%
Other values (160) 5440
43.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8811
70.2%
Uppercase Letter 2053
 
16.4%
Space Separator 1455
 
11.6%
Other Punctuation 158
 
1.3%
Decimal Number 43
 
0.3%
Dash Punctuation 22
 
0.2%
Other Symbol 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1088
 
12.3%
a 739
 
8.4%
n 645
 
7.3%
o 644
 
7.3%
i 624
 
7.1%
r 576
 
6.5%
t 511
 
5.8%
s 467
 
5.3%
h 357
 
4.1%
l 355
 
4.0%
Other values (76) 2805
31.8%
Uppercase Letter
ValueCountFrequency (%)
S 192
 
9.4%
T 184
 
9.0%
M 115
 
5.6%
L 113
 
5.5%
C 101
 
4.9%
A 100
 
4.9%
D 99
 
4.8%
B 92
 
4.5%
W 89
 
4.3%
H 88
 
4.3%
Other values (47) 880
42.9%
Other Punctuation
ValueCountFrequency (%)
: 62
39.2%
' 43
27.2%
. 14
 
8.9%
, 11
 
7.0%
! 10
 
6.3%
& 9
 
5.7%
? 5
 
3.2%
/ 1
 
0.6%
* 1
 
0.6%
1
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 9
20.9%
2 9
20.9%
0 8
18.6%
3 4
9.3%
4 4
9.3%
7 3
 
7.0%
9 2
 
4.7%
5 2
 
4.7%
6 1
 
2.3%
8 1
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 19
86.4%
3
 
13.6%
Other Symbol
ValueCountFrequency (%)
2
66.7%
° 1
33.3%
Space Separator
ValueCountFrequency (%)
1455
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9837
78.4%
Common 1682
 
13.4%
Cyrillic 1020
 
8.1%
Greek 7
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1088
 
11.1%
a 739
 
7.5%
n 645
 
6.6%
o 644
 
6.5%
i 624
 
6.3%
r 576
 
5.9%
t 511
 
5.2%
s 467
 
4.7%
h 357
 
3.6%
l 355
 
3.6%
Other values (69) 3831
38.9%
Cyrillic
ValueCountFrequency (%)
а 81
 
7.9%
о 80
 
7.8%
е 75
 
7.4%
и 65
 
6.4%
н 60
 
5.9%
р 59
 
5.8%
т 53
 
5.2%
с 38
 
3.7%
к 37
 
3.6%
л 36
 
3.5%
Other values (47) 436
42.7%
Common
ValueCountFrequency (%)
1455
86.5%
: 62
 
3.7%
' 43
 
2.6%
- 19
 
1.1%
. 14
 
0.8%
, 11
 
0.7%
! 10
 
0.6%
& 9
 
0.5%
1 9
 
0.5%
2 9
 
0.5%
Other values (17) 41
 
2.4%
Greek
ValueCountFrequency (%)
λ 1
14.3%
ω 1
14.3%
σ 1
14.3%
Κ 1
14.3%
τ 1
14.3%
έ 1
14.3%
ς 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11451
91.3%
Cyrillic 1020
 
8.1%
None 69
 
0.5%
Punctuation 4
 
< 0.1%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1455
 
12.7%
e 1088
 
9.5%
a 739
 
6.5%
n 645
 
5.6%
o 644
 
5.6%
i 624
 
5.4%
r 576
 
5.0%
t 511
 
4.5%
s 467
 
4.1%
h 357
 
3.1%
Other values (65) 4345
37.9%
Cyrillic
ValueCountFrequency (%)
а 81
 
7.9%
о 80
 
7.8%
е 75
 
7.4%
и 65
 
6.4%
н 60
 
5.9%
р 59
 
5.8%
т 53
 
5.2%
с 38
 
3.7%
к 37
 
3.6%
л 36
 
3.5%
Other values (47) 436
42.7%
None
ValueCountFrequency (%)
å 9
 
13.0%
ö 5
 
7.2%
ü 5
 
7.2%
ä 5
 
7.2%
é 4
 
5.8%
ş 3
 
4.3%
ñ 3
 
4.3%
â 3
 
4.3%
ø 2
 
2.9%
ı 2
 
2.9%
Other values (25) 28
40.6%
Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%

show_type
Categorical

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size46.5 KiB
Scripted
235 
Animation
117 
Documentary
97 
Reality
91 
Talk Show
82 
Other values (6)
107 

Length

Max length11
Median length10
Mean length8.3264746
Min length4

Characters and Unicode

Total characters6.070
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowScripted
2nd rowScripted
3rd rowScripted
4th rowScripted
5th rowScripted

Common Values

ValueCountFrequency (%)
Scripted 235
32.2%
Animation 117
16.0%
Documentary 97
13.3%
Reality 91
 
12.5%
Talk Show 82
 
11.2%
News 40
 
5.5%
Game Show 32
 
4.4%
Variety 17
 
2.3%
Sports 13
 
1.8%
Panel Show 4
 
0.5%

Length

2025-03-31T08:49:22.998771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
scripted 235
27.7%
show 119
14.0%
animation 117
13.8%
documentary 97
11.4%
reality 91
 
10.7%
talk 82
 
9.7%
news 40
 
4.7%
game 32
 
3.8%
variety 17
 
2.0%
sports 13
 
1.5%
Other values (2) 5
 
0.6%

Most occurring characters

ValueCountFrequency (%)
i 577
 
9.5%
t 570
 
9.4%
e 516
 
8.5%
a 441
 
7.3%
S 367
 
6.0%
r 363
 
6.0%
o 346
 
5.7%
n 335
 
5.5%
c 332
 
5.5%
p 248
 
4.1%
Other values (18) 1975
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5103
84.1%
Uppercase Letter 848
 
14.0%
Space Separator 119
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 577
11.3%
t 570
11.2%
e 516
10.1%
a 441
 
8.6%
r 363
 
7.1%
o 346
 
6.8%
n 335
 
6.6%
c 332
 
6.5%
p 248
 
4.9%
m 246
 
4.8%
Other values (8) 1129
22.1%
Uppercase Letter
ValueCountFrequency (%)
S 367
43.3%
A 118
 
13.9%
D 97
 
11.4%
R 91
 
10.7%
T 82
 
9.7%
N 40
 
4.7%
G 32
 
3.8%
V 17
 
2.0%
P 4
 
0.5%
Space Separator
ValueCountFrequency (%)
119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5951
98.0%
Common 119
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 577
 
9.7%
t 570
 
9.6%
e 516
 
8.7%
a 441
 
7.4%
S 367
 
6.2%
r 363
 
6.1%
o 346
 
5.8%
n 335
 
5.6%
c 332
 
5.6%
p 248
 
4.2%
Other values (17) 1856
31.2%
Common
ValueCountFrequency (%)
119
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6070
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 577
 
9.5%
t 570
 
9.4%
e 516
 
8.5%
a 441
 
7.3%
S 367
 
6.0%
r 363
 
6.0%
o 346
 
5.7%
n 335
 
5.5%
c 332
 
5.5%
p 248
 
4.1%
Other values (18) 1975
32.5%

show_language
Categorical

HIGH CORRELATION  MISSING 

Distinct33
Distinct (%)4.8%
Missing47
Missing (%)6.4%
Memory size45.5 KiB
English
280 
Chinese
117 
Russian
70 
Norwegian
31 
Korean
 
23
Other values (28)
161 

Length

Max length10
Median length7
Mean length6.9648094
Min length4

Characters and Unicode

Total characters4.750
Distinct characters42
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.5%

Sample

1st rowRussian
2nd rowRussian
3rd rowRussian
4th rowRussian
5th rowEnglish

Common Values

ValueCountFrequency (%)
English 280
38.4%
Chinese 117
16.0%
Russian 70
 
9.6%
Norwegian 31
 
4.3%
Korean 23
 
3.2%
Swedish 23
 
3.2%
Japanese 15
 
2.1%
Spanish 12
 
1.6%
French 11
 
1.5%
Thai 11
 
1.5%
Other values (23) 89
 
12.2%
(Missing) 47
 
6.4%

Length

2025-03-31T08:49:23.106843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english 280
41.1%
chinese 117
17.2%
russian 70
 
10.3%
norwegian 31
 
4.5%
korean 23
 
3.4%
swedish 23
 
3.4%
japanese 15
 
2.2%
spanish 12
 
1.8%
french 11
 
1.6%
thai 11
 
1.6%
Other values (23) 89
 
13.0%

Most occurring characters

ValueCountFrequency (%)
i 623
13.1%
n 622
13.1%
s 616
13.0%
h 492
10.4%
e 380
8.0%
g 317
6.7%
l 293
 
6.2%
E 280
 
5.9%
a 244
 
5.1%
C 124
 
2.6%
Other values (32) 759
16.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4068
85.6%
Uppercase Letter 682
 
14.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 623
15.3%
n 622
15.3%
s 616
15.1%
h 492
12.1%
e 380
9.3%
g 317
7.8%
l 293
7.2%
a 244
 
6.0%
r 107
 
2.6%
u 96
 
2.4%
Other values (13) 278
6.8%
Uppercase Letter
ValueCountFrequency (%)
E 280
41.1%
C 124
18.2%
R 70
 
10.3%
S 36
 
5.3%
N 31
 
4.5%
K 23
 
3.4%
T 22
 
3.2%
D 15
 
2.2%
J 15
 
2.2%
F 14
 
2.1%
Other values (9) 52
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 4750
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 623
13.1%
n 622
13.1%
s 616
13.0%
h 492
10.4%
e 380
8.0%
g 317
6.7%
l 293
 
6.2%
E 280
 
5.9%
a 244
 
5.1%
C 124
 
2.6%
Other values (32) 759
16.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 623
13.1%
n 622
13.1%
s 616
13.0%
h 492
10.4%
e 380
8.0%
g 317
6.7%
l 293
 
6.2%
E 280
 
5.9%
a 244
 
5.1%
C 124
 
2.6%
Other values (32) 759
16.0%

show_genres
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size65.8 KiB

show_status
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size46.0 KiB
Running
449 
Ended
184 
To Be Determined
96 

Length

Max length16
Median length7
Mean length7.6803841
Min length5

Characters and Unicode

Total characters5.599
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnded
2nd rowEnded
3rd rowRunning
4th rowRunning
5th rowRunning

Common Values

ValueCountFrequency (%)
Running 449
61.6%
Ended 184
25.2%
To Be Determined 96
 
13.2%

Length

2025-03-31T08:49:23.215525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-03-31T08:49:23.310091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
running 449
48.8%
ended 184
20.0%
to 96
 
10.4%
be 96
 
10.4%
determined 96
 
10.4%

Most occurring characters

ValueCountFrequency (%)
n 1627
29.1%
e 568
 
10.1%
i 545
 
9.7%
d 464
 
8.3%
R 449
 
8.0%
u 449
 
8.0%
g 449
 
8.0%
192
 
3.4%
E 184
 
3.3%
T 96
 
1.7%
Other values (6) 576
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4486
80.1%
Uppercase Letter 921
 
16.4%
Space Separator 192
 
3.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1627
36.3%
e 568
 
12.7%
i 545
 
12.1%
d 464
 
10.3%
u 449
 
10.0%
g 449
 
10.0%
o 96
 
2.1%
t 96
 
2.1%
r 96
 
2.1%
m 96
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
R 449
48.8%
E 184
20.0%
T 96
 
10.4%
B 96
 
10.4%
D 96
 
10.4%
Space Separator
ValueCountFrequency (%)
192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5407
96.6%
Common 192
 
3.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1627
30.1%
e 568
 
10.5%
i 545
 
10.1%
d 464
 
8.6%
R 449
 
8.3%
u 449
 
8.3%
g 449
 
8.3%
E 184
 
3.4%
T 96
 
1.8%
o 96
 
1.8%
Other values (5) 480
 
8.9%
Common
ValueCountFrequency (%)
192
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 1627
29.1%
e 568
 
10.1%
i 545
 
9.7%
d 464
 
8.3%
R 449
 
8.0%
u 449
 
8.0%
g 449
 
8.0%
192
 
3.4%
E 184
 
3.3%
T 96
 
1.7%
Other values (6) 576
 
10.3%

show_runtime
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct44
Distinct (%)30.8%
Missing586
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean46.888112
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:23.412339image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q120
median30
Q360
95-th percentile147
Maximum300
Range299
Interquartile range (IQR)40

Descriptive statistics

Standard deviation47.046442
Coefficient of variation (CV)1.0033768
Kurtosis8.4507207
Mean46.888112
Median Absolute Deviation (MAD)18
Skewness2.5903004
Sum6705
Variance2213.3677
MonotonicityNot monotonic
2025-03-31T08:49:23.518462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
60 24
 
3.3%
30 19
 
2.6%
20 7
 
1.0%
120 6
 
0.8%
25 6
 
0.8%
45 6
 
0.8%
24 6
 
0.8%
5 5
 
0.7%
12 5
 
0.7%
10 5
 
0.7%
Other values (34) 54
 
7.4%
(Missing) 586
80.4%
ValueCountFrequency (%)
1 2
 
0.3%
2 2
 
0.3%
3 1
 
0.1%
5 5
0.7%
6 1
 
0.1%
8 2
 
0.3%
10 5
0.7%
11 2
 
0.3%
12 5
0.7%
15 2
 
0.3%
ValueCountFrequency (%)
300 1
 
0.1%
240 1
 
0.1%
210 1
 
0.1%
180 3
0.4%
159 1
 
0.1%
150 1
 
0.1%
120 6
0.8%
90 3
0.4%
70 1
 
0.1%
65 1
 
0.1%

show_average_runtime
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct103
Distinct (%)15.4%
Missing62
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean42.256372
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:23.608462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q122
median39
Q353
95-th percentile100.7
Maximum300
Range299
Interquartile range (IQR)31

Descriptive statistics

Standard deviation34.98535
Coefficient of variation (CV)0.82793076
Kurtosis13.260945
Mean42.256372
Median Absolute Deviation (MAD)16
Skewness2.9948185
Sum28185
Variance1223.9747
MonotonicityNot monotonic
2025-03-31T08:49:23.707101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 41
 
5.6%
45 41
 
5.6%
30 41
 
5.6%
25 24
 
3.3%
15 23
 
3.2%
43 23
 
3.2%
10 22
 
3.0%
20 16
 
2.2%
24 14
 
1.9%
12 13
 
1.8%
Other values (93) 409
56.1%
(Missing) 62
 
8.5%
ValueCountFrequency (%)
1 3
 
0.4%
2 6
 
0.8%
3 5
 
0.7%
4 3
 
0.4%
5 7
 
1.0%
6 8
 
1.1%
7 4
 
0.5%
8 7
 
1.0%
9 4
 
0.5%
10 22
3.0%
ValueCountFrequency (%)
300 1
 
0.1%
242 1
 
0.1%
240 3
0.4%
219 1
 
0.1%
194 1
 
0.1%
184 1
 
0.1%
180 5
0.7%
177 1
 
0.1%
164 1
 
0.1%
163 1
 
0.1%
Distinct479
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum1944-01-20 00:00:00
Maximum2024-11-25 00:00:00
2025-03-31T08:49:23.800225image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:23.904869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

show_ended
Date

MISSING 

Distinct82
Distinct (%)44.6%
Missing545
Missing (%)74.8%
Memory size11.4 KiB
Minimum2024-01-01 00:00:00
Maximum2025-01-29 00:00:00
2025-03-31T08:49:24.128638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:24.248315image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

show_official_site
URL

MISSING 

Distinct644
Distinct (%)99.5%
Missing82
Missing (%)11.2%
Memory size72.2 KiB
https://abcnews.go.com/Live
 
4
https://www.bbc.co.uk/cbeebies/shows/jojo-and-gran
 
1
http://www.bbc.co.uk/programmes/b006m86d
 
1
https://www.itv.com/watch/tiktok-murder-gone-viral/10a2945
 
1
https://tv.tv2.dk/aargang-20
 
1
Other values (639)
639 
(Missing)
82 
ValueCountFrequency (%)
https://abcnews.go.com/Live 4
 
0.5%
https://www.bbc.co.uk/cbeebies/shows/jojo-and-gran 1
 
0.1%
http://www.bbc.co.uk/programmes/b006m86d 1
 
0.1%
https://www.itv.com/watch/tiktok-murder-gone-viral/10a2945 1
 
0.1%
https://tv.tv2.dk/aargang-20 1
 
0.1%
https://okko.tv/serial/manjunja 1
 
0.1%
https://premier.one/show/imperatritsy-mini-serial 1
 
0.1%
https://iview.abc.net.au/show/planet-lulin 1
 
0.1%
https://v.qq.com/x/search/?q=无上神帝&stag=&smartbox_ab= 1
 
0.1%
https://v.qq.com/x/cover/mzc00200azkttu2.html 1
 
0.1%
Other values (634) 634
87.0%
(Missing) 82
 
11.2%
ValueCountFrequency (%)
https 609
83.5%
http 38
 
5.2%
(Missing) 82
 
11.2%
ValueCountFrequency (%)
www.youtube.com 56
 
7.7%
v.qq.com 51
 
7.0%
www.bbc.co.uk 36
 
4.9%
www.netflix.com 33
 
4.5%
www.primevideo.com 17
 
2.3%
www.svtplay.se 17
 
2.3%
vk.com 15
 
2.1%
v.youku.com 15
 
2.1%
tv.nrk.no 13
 
1.8%
www.iqiyi.com 12
 
1.6%
Other values (204) 382
52.4%
(Missing) 82
 
11.2%
ValueCountFrequency (%)
/playlist 26
 
3.6%
/ 26
 
3.6%
6
 
0.8%
/Live 4
 
0.5%
/watch 3
 
0.4%
/x/search/ 3
 
0.4%
/serier/paradise-hotel 2
 
0.3%
/show/weathered/ 1
 
0.1%
/x/cover/mzc00200azkttu2.html 1
 
0.1%
/watch/series/0b15b405-50b7-4e8b-a553-cfee4ef2a89d/sues-places 1
 
0.1%
Other values (574) 574
78.7%
(Missing) 82
 
11.2%
ValueCountFrequency (%)
574
78.7%
spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle 7
 
1.0%
lang=en_us 7
 
1.0%
spm=a2hbt.13141534.left-title-content-wrap.5~A 2
 
0.3%
q=无上神帝&stag=&smartbox_ab= 1
 
0.1%
spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle&s=ccad226d231a4184b735 1
 
0.1%
fpa=33341&fpos=1&lastp=ch_home 1
 
0.1%
utm_source=search&utm_campaign=autocomplete 1
 
0.1%
fpa=se&lastp=so_result 1
 
0.1%
list=PL0uXplhINGZTe7gT9-VihKKOLqzx5cdvO 1
 
0.1%
Other values (51) 51
 
7.0%
(Missing) 82
 
11.2%
ValueCountFrequency (%)
645
88.5%
!/ 1
 
0.1%
detail 1
 
0.1%
(Missing) 82
 
11.2%

show_schedule_time
Date

MISSING 

Distinct46
Distinct (%)20.2%
Missing501
Missing (%)68.7%
Memory size11.4 KiB
Minimum2025-03-31 00:00:00
Maximum2025-03-31 23:35:00
2025-03-31T08:49:24.377988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:24.504469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

show_schedule_days
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size69.6 KiB

show_rating_average
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct43
Distinct (%)33.6%
Missing601
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean6.5148437
Minimum1
Maximum8.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:24.615273image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.17
Q16.1
median6.8
Q37.4
95-th percentile8
Maximum8.3
Range7.3
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.3917128
Coefficient of variation (CV)0.21362182
Kurtosis4.8483749
Mean6.5148437
Median Absolute Deviation (MAD)0.6
Skewness-1.9550525
Sum833.9
Variance1.9368645
MonotonicityNot monotonic
2025-03-31T08:49:24.711066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
6.3 7
 
1.0%
7 7
 
1.0%
7.2 7
 
1.0%
7.3 7
 
1.0%
6.8 7
 
1.0%
6.6 6
 
0.8%
8 6
 
0.8%
7.4 6
 
0.8%
7.8 5
 
0.7%
6.7 5
 
0.7%
Other values (33) 65
 
8.9%
(Missing) 601
82.4%
ValueCountFrequency (%)
1 2
0.3%
1.3 1
0.1%
2.1 1
0.1%
2.2 1
0.1%
4.1 2
0.3%
4.3 1
0.1%
4.4 1
0.1%
4.6 1
0.1%
4.7 1
0.1%
4.8 1
0.1%
ValueCountFrequency (%)
8.3 1
 
0.1%
8.2 1
 
0.1%
8.1 1
 
0.1%
8 6
0.8%
7.9 3
0.4%
7.8 5
0.7%
7.7 4
0.5%
7.6 3
0.4%
7.5 4
0.5%
7.4 6
0.8%

show_weight
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct99
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.765432
Minimum0
Maximum100
Zeros16
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:24.812462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median33
Q360
95-th percentile93.6
Maximum100
Range100
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.982616
Coefficient of variation (CV)0.79391693
Kurtosis-0.94701439
Mean37.765432
Median Absolute Deviation (MAD)24
Skewness0.54814264
Sum27531
Variance898.95726
MonotonicityNot monotonic
2025-03-31T08:49:24.909611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 45
 
6.2%
13 32
 
4.4%
4 30
 
4.1%
9 25
 
3.4%
8 21
 
2.9%
42 18
 
2.5%
23 17
 
2.3%
3 17
 
2.3%
0 16
 
2.2%
11 14
 
1.9%
Other values (89) 494
67.8%
ValueCountFrequency (%)
0 16
 
2.2%
1 12
 
1.6%
2 7
 
1.0%
3 17
 
2.3%
4 30
4.1%
5 5
 
0.7%
6 9
 
1.2%
7 45
6.2%
8 21
2.9%
9 25
3.4%
ValueCountFrequency (%)
100 1
 
0.1%
99 6
0.8%
98 7
1.0%
97 3
 
0.4%
96 6
0.8%
95 6
0.8%
94 8
1.1%
93 8
1.1%
92 3
 
0.4%
91 6
0.8%

show_network
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing729
Missing (%)100.0%
Memory size11.4 KiB

show_webChannel_id
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct152
Distinct (%)21.5%
Missing22
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean197.49081
Minimum1
Maximum688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:25.009334image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q121
median118
Q3329
95-th percentile607
Maximum688
Range687
Interquartile range (IQR)308

Descriptive statistics

Standard deviation191.25178
Coefficient of variation (CV)0.96840854
Kurtosis-0.43673602
Mean197.49081
Median Absolute Deviation (MAD)97
Skewness0.85438685
Sum139626
Variance36577.245
MonotonicityNot monotonic
2025-03-31T08:49:25.115757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 104
 
14.3%
104 55
 
7.5%
26 35
 
4.8%
1 35
 
4.8%
118 28
 
3.8%
3 24
 
3.3%
67 23
 
3.2%
190 18
 
2.5%
347 14
 
1.9%
51 14
 
1.9%
Other values (142) 357
49.0%
(Missing) 22
 
3.0%
ValueCountFrequency (%)
1 35
 
4.8%
2 5
 
0.7%
3 24
 
3.3%
11 3
 
0.4%
12 1
 
0.1%
15 4
 
0.5%
20 3
 
0.4%
21 104
14.3%
26 35
 
4.8%
32 1
 
0.1%
ValueCountFrequency (%)
688 1
 
0.1%
686 1
 
0.1%
685 2
 
0.3%
670 1
 
0.1%
662 1
 
0.1%
643 1
 
0.1%
637 5
0.7%
632 1
 
0.1%
628 1
 
0.1%
623 2
 
0.3%

show_webChannel_name
Text

MISSING 

Distinct151
Distinct (%)21.4%
Missing22
Missing (%)3.0%
Memory size47.1 KiB
2025-03-31T08:49:25.268293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length8.0763791
Min length3

Characters and Unicode

Total characters5.710
Distinct characters85
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)10.0%

Sample

1st rowИви
2nd rowOkko
3rd rowOkko
4th rowWink
5th rowKION
ValueCountFrequency (%)
youtube 104
 
10.1%
tencent 55
 
5.3%
qq 55
 
5.3%
tv 46
 
4.5%
bbc 35
 
3.4%
netflix 35
 
3.4%
iplayer 35
 
3.4%
play 35
 
3.4%
youku 28
 
2.7%
video 25
 
2.4%
Other values (183) 576
56.0%
2025-03-31T08:49:25.510220image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 513
 
9.0%
i 328
 
5.7%
322
 
5.6%
u 320
 
5.6%
o 307
 
5.4%
T 278
 
4.9%
a 240
 
4.2%
n 237
 
4.2%
t 209
 
3.7%
l 206
 
3.6%
Other values (75) 2750
48.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3569
62.5%
Uppercase Letter 1735
30.4%
Space Separator 322
 
5.6%
Math Symbol 45
 
0.8%
Decimal Number 22
 
0.4%
Other Punctuation 17
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 513
14.4%
i 328
 
9.2%
u 320
 
9.0%
o 307
 
8.6%
a 240
 
6.7%
n 237
 
6.6%
t 209
 
5.9%
l 206
 
5.8%
r 167
 
4.7%
b 125
 
3.5%
Other values (33) 917
25.7%
Uppercase Letter
ValueCountFrequency (%)
T 278
16.0%
Y 160
9.2%
P 152
 
8.8%
V 141
 
8.1%
Q 133
 
7.7%
B 126
 
7.3%
N 116
 
6.7%
C 89
 
5.1%
I 83
 
4.8%
S 69
 
4.0%
Other values (22) 388
22.4%
Other Punctuation
ValueCountFrequency (%)
. 8
47.1%
' 4
23.5%
! 2
 
11.8%
: 2
 
11.8%
/ 1
 
5.9%
Math Symbol
ValueCountFrequency (%)
+ 43
95.6%
| 2
 
4.4%
Decimal Number
ValueCountFrequency (%)
2 14
63.6%
4 8
36.4%
Space Separator
ValueCountFrequency (%)
322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5138
90.0%
Common 406
 
7.1%
Cyrillic 166
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 513
 
10.0%
i 328
 
6.4%
u 320
 
6.2%
o 307
 
6.0%
T 278
 
5.4%
a 240
 
4.7%
n 237
 
4.6%
t 209
 
4.1%
l 206
 
4.0%
r 167
 
3.3%
Other values (44) 2333
45.4%
Cyrillic
ValueCountFrequency (%)
и 32
19.3%
о 30
18.1%
д 20
12.0%
е 19
11.4%
В 19
11.4%
м 6
 
3.6%
с 5
 
3.0%
н 5
 
3.0%
к 4
 
2.4%
К 4
 
2.4%
Other values (11) 22
13.3%
Common
ValueCountFrequency (%)
322
79.3%
+ 43
 
10.6%
2 14
 
3.4%
. 8
 
2.0%
4 8
 
2.0%
' 4
 
1.0%
| 2
 
0.5%
! 2
 
0.5%
: 2
 
0.5%
/ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5536
97.0%
Cyrillic 166
 
2.9%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 513
 
9.3%
i 328
 
5.9%
322
 
5.8%
u 320
 
5.8%
o 307
 
5.5%
T 278
 
5.0%
a 240
 
4.3%
n 237
 
4.3%
t 209
 
3.8%
l 206
 
3.7%
Other values (50) 2576
46.5%
Cyrillic
ValueCountFrequency (%)
и 32
19.3%
о 30
18.1%
д 20
12.0%
е 19
11.4%
В 19
11.4%
м 6
 
3.6%
с 5
 
3.0%
н 5
 
3.0%
к 4
 
2.4%
К 4
 
2.4%
Other values (11) 22
13.3%
None
ValueCountFrequency (%)
í 4
50.0%
á 2
25.0%
ǒ 1
 
12.5%
ī 1
 
12.5%

show_webChannel_country_name
Categorical

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)7.2%
Missing296
Missing (%)40.6%
Memory size46.9 KiB
China
107 
United States
97 
Russian Federation
53 
United Kingdom
45 
Norway
25 
Other values (26)
106 

Length

Max length25
Median length18
Mean length10.196305
Min length5

Characters and Unicode

Total characters4.415
Distinct characters41
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)2.1%

Sample

1st rowRussian Federation
2nd rowRussian Federation
3rd rowRussian Federation
4th rowRussian Federation
5th rowRussian Federation

Common Values

ValueCountFrequency (%)
China 107
 
14.7%
United States 97
 
13.3%
Russian Federation 53
 
7.3%
United Kingdom 45
 
6.2%
Norway 25
 
3.4%
Sweden 22
 
3.0%
Korea, Republic of 10
 
1.4%
Canada 10
 
1.4%
India 9
 
1.2%
Czech Republic 7
 
1.0%
Other values (21) 48
 
6.6%
(Missing) 296
40.6%

Length

2025-03-31T08:49:25.613853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
united 142
21.5%
china 109
16.5%
states 97
14.7%
russian 53
 
8.0%
federation 53
 
8.0%
kingdom 45
 
6.8%
norway 25
 
3.8%
sweden 22
 
3.3%
republic 17
 
2.6%
of 12
 
1.8%
Other values (26) 86
13.0%

Most occurring characters

ValueCountFrequency (%)
n 473
 
10.7%
i 455
 
10.3%
e 453
 
10.3%
a 429
 
9.7%
t 402
 
9.1%
d 288
 
6.5%
228
 
5.2%
s 210
 
4.8%
o 151
 
3.4%
U 143
 
3.2%
Other values (31) 1183
26.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3526
79.9%
Uppercase Letter 649
 
14.7%
Space Separator 228
 
5.2%
Other Punctuation 12
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 473
13.4%
i 455
12.9%
e 453
12.8%
a 429
12.2%
t 402
11.4%
d 288
8.2%
s 210
6.0%
o 151
 
4.3%
h 119
 
3.4%
r 115
 
3.3%
Other values (13) 431
12.2%
Uppercase Letter
ValueCountFrequency (%)
U 143
22.0%
C 126
19.4%
S 124
19.1%
R 70
10.8%
F 58
8.9%
K 55
 
8.5%
N 26
 
4.0%
I 11
 
1.7%
T 9
 
1.4%
G 6
 
0.9%
Other values (6) 21
 
3.2%
Space Separator
ValueCountFrequency (%)
228
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4175
94.6%
Common 240
 
5.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 473
11.3%
i 455
10.9%
e 453
10.9%
a 429
10.3%
t 402
 
9.6%
d 288
 
6.9%
s 210
 
5.0%
o 151
 
3.6%
U 143
 
3.4%
C 126
 
3.0%
Other values (29) 1045
25.0%
Common
ValueCountFrequency (%)
228
95.0%
, 12
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 473
 
10.7%
i 455
 
10.3%
e 453
 
10.3%
a 429
 
9.7%
t 402
 
9.1%
d 288
 
6.5%
228
 
5.2%
s 210
 
4.8%
o 151
 
3.4%
U 143
 
3.2%
Other values (31) 1183
26.8%

show_webChannel_country_code
Categorical

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)7.2%
Missing296
Missing (%)40.6%
Memory size43.4 KiB
CN
107 
US
97 
RU
53 
GB
45 
NO
25 
Other values (26)
106 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters866
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)2.1%

Sample

1st rowRU
2nd rowRU
3rd rowRU
4th rowRU
5th rowRU

Common Values

ValueCountFrequency (%)
CN 107
 
14.7%
US 97
 
13.3%
RU 53
 
7.3%
GB 45
 
6.2%
NO 25
 
3.4%
SE 22
 
3.0%
KR 10
 
1.4%
CA 10
 
1.4%
IN 9
 
1.2%
CZ 7
 
1.0%
Other values (21) 48
 
6.6%
(Missing) 296
40.6%

Length

2025-03-31T08:49:25.705698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cn 107
24.7%
us 97
22.4%
ru 53
12.2%
gb 45
10.4%
no 25
 
5.8%
se 22
 
5.1%
kr 10
 
2.3%
ca 10
 
2.3%
in 9
 
2.1%
cz 7
 
1.6%
Other values (21) 48
11.1%

Most occurring characters

ValueCountFrequency (%)
U 156
18.0%
N 142
16.4%
C 125
14.4%
S 123
14.2%
R 72
8.3%
B 50
 
5.8%
G 48
 
5.5%
E 37
 
4.3%
O 25
 
2.9%
A 16
 
1.8%
Other values (11) 72
8.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 866
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 156
18.0%
N 142
16.4%
C 125
14.4%
S 123
14.2%
R 72
8.3%
B 50
 
5.8%
G 48
 
5.5%
E 37
 
4.3%
O 25
 
2.9%
A 16
 
1.8%
Other values (11) 72
8.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 866
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 156
18.0%
N 142
16.4%
C 125
14.4%
S 123
14.2%
R 72
8.3%
B 50
 
5.8%
G 48
 
5.5%
E 37
 
4.3%
O 25
 
2.9%
A 16
 
1.8%
Other values (11) 72
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 156
18.0%
N 142
16.4%
C 125
14.4%
S 123
14.2%
R 72
8.3%
B 50
 
5.8%
G 48
 
5.5%
E 37
 
4.3%
O 25
 
2.9%
A 16
 
1.8%
Other values (11) 72
8.3%

show_webChannel_country_timezone
Categorical

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)7.2%
Missing296
Missing (%)40.6%
Memory size48.5 KiB
Asia/Shanghai
107 
America/New_York
97 
Asia/Kamchatka
53 
Europe/London
45 
Europe/Oslo
25 
Other values (26)
106 

Length

Max length17
Median length16
Mean length13.879908
Min length10

Characters and Unicode

Total characters6.010
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)2.1%

Sample

1st rowAsia/Kamchatka
2nd rowAsia/Kamchatka
3rd rowAsia/Kamchatka
4th rowAsia/Kamchatka
5th rowAsia/Kamchatka

Common Values

ValueCountFrequency (%)
Asia/Shanghai 107
 
14.7%
America/New_York 97
 
13.3%
Asia/Kamchatka 53
 
7.3%
Europe/London 45
 
6.2%
Europe/Oslo 25
 
3.4%
Europe/Stockholm 22
 
3.0%
Asia/Seoul 10
 
1.4%
America/Toronto 10
 
1.4%
Asia/Kolkata 9
 
1.2%
Europe/Prague 7
 
1.0%
Other values (21) 48
 
6.6%
(Missing) 296
40.6%

Length

2025-03-31T08:49:25.857751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
asia/shanghai 107
24.7%
america/new_york 97
22.4%
asia/kamchatka 53
12.2%
europe/london 45
10.4%
europe/oslo 25
 
5.8%
europe/stockholm 22
 
5.1%
asia/seoul 10
 
2.3%
america/toronto 10
 
2.3%
asia/kolkata 9
 
2.1%
europe/prague 7
 
1.6%
Other values (21) 48
11.1%

Most occurring characters

ValueCountFrequency (%)
a 726
 
12.1%
o 451
 
7.5%
/ 433
 
7.2%
i 433
 
7.2%
e 381
 
6.3%
r 377
 
6.3%
A 301
 
5.0%
h 292
 
4.9%
s 251
 
4.2%
n 239
 
4.0%
Other values (33) 2126
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4517
75.2%
Uppercase Letter 963
 
16.0%
Other Punctuation 433
 
7.2%
Connector Punctuation 97
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 726
16.1%
o 451
10.0%
i 433
9.6%
e 381
 
8.4%
r 377
 
8.3%
h 292
 
6.5%
s 251
 
5.6%
n 239
 
5.3%
k 188
 
4.2%
m 186
 
4.1%
Other values (13) 993
22.0%
Uppercase Letter
ValueCountFrequency (%)
A 301
31.3%
S 144
15.0%
E 134
13.9%
N 97
 
10.1%
Y 97
 
10.1%
K 63
 
6.5%
L 48
 
5.0%
O 25
 
2.6%
T 14
 
1.5%
B 11
 
1.1%
Other values (8) 29
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 433
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5480
91.2%
Common 530
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 726
 
13.2%
o 451
 
8.2%
i 433
 
7.9%
e 381
 
7.0%
r 377
 
6.9%
A 301
 
5.5%
h 292
 
5.3%
s 251
 
4.6%
n 239
 
4.4%
k 188
 
3.4%
Other values (31) 1841
33.6%
Common
ValueCountFrequency (%)
/ 433
81.7%
_ 97
 
18.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 726
 
12.1%
o 451
 
7.5%
/ 433
 
7.2%
i 433
 
7.2%
e 381
 
6.3%
r 377
 
6.3%
A 301
 
5.0%
h 292
 
4.9%
s 251
 
4.2%
n 239
 
4.0%
Other values (33) 2126
35.4%
Distinct97
Distinct (%)17.7%
Missing180
Missing (%)24.7%
Memory size50.5 KiB
https://www.youtube.com
104 
https://v.qq.com/
55 
https://www.bbc.co.uk/iplayer
35 
https://www.netflix.com/
35 
https://www.primevideo.com
 
24
Other values (92)
296 
(Missing)
180 
ValueCountFrequency (%)
https://www.youtube.com 104
14.3%
https://v.qq.com/ 55
 
7.5%
https://www.bbc.co.uk/iplayer 35
 
4.8%
https://www.netflix.com/ 35
 
4.8%
https://www.primevideo.com 24
 
3.3%
https://www.iq.com/ 23
 
3.2%
https://www.svtplay.se/ 18
 
2.5%
https://www.peacocktv.com/ 14
 
1.9%
https://tv.nrk.no 13
 
1.8%
https://www.disneyplus.com/ 12
 
1.6%
Other values (87) 216
29.6%
(Missing) 180
24.7%
ValueCountFrequency (%)
https 543
74.5%
http 6
 
0.8%
(Missing) 180
 
24.7%
ValueCountFrequency (%)
www.youtube.com 104
14.3%
v.qq.com 55
 
7.5%
www.netflix.com 35
 
4.8%
www.bbc.co.uk 35
 
4.8%
www.primevideo.com 24
 
3.3%
www.iq.com 23
 
3.2%
www.svtplay.se 18
 
2.5%
www.peacocktv.com 14
 
1.9%
tv.nrk.no 13
 
1.8%
www.disneyplus.com 12
 
1.6%
Other values (87) 216
29.6%
(Missing) 180
24.7%
ValueCountFrequency (%)
/ 309
42.4%
156
21.4%
/iplayer 35
 
4.8%
/video/@vkvideo 7
 
1.0%
/in 5
 
0.7%
/en 5
 
0.7%
/Live 4
 
0.5%
/onboarding 4
 
0.5%
/adlp/freevee-about 3
 
0.4%
/watch 2
 
0.3%
Other values (15) 19
 
2.6%
(Missing) 180
24.7%
ValueCountFrequency (%)
541
74.2%
hpt=header_edition-picker 6
 
0.8%
utm_source=google&utm_campaign=gads_search_brand&utm_medium=cpc&utm_term=pure%20flix&hsa_ver=3&hsa_grp=68693273966&hsa_acc=9355037628&hsa_ad=676826129706&hsa_src=g&hsa_tgt=kwd-325450860434&hsa_kw=pure%20f 1
 
0.1%
ref=d6k_applink_bb_dls&dplnkId=cf2c8abd-2308-47e3-947b-b9f7e981c117 1
 
0.1%
(Missing) 180
 
24.7%
ValueCountFrequency (%)
549
75.3%
(Missing) 180
 
24.7%

_embedded.show.dvdCountry
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing729
Missing (%)100.0%
Memory size11.4 KiB

show_tvrage
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)100.0%
Missing706
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean17498.696
Minimum712
Maximum47170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:25.966681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum712
5-th percentile1999.7
Q15036
median15090
Q331222
95-th percentile35682.6
Maximum47170
Range46458
Interquartile range (IQR)26186

Descriptive statistics

Standard deviation14066.247
Coefficient of variation (CV)0.80384543
Kurtosis-1.1312229
Mean17498.696
Median Absolute Deviation (MAD)11672
Skewness0.45531338
Sum402470
Variance1.9785929 × 108
MonotonicityNot monotonic
2025-03-31T08:49:26.059994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3418 1
 
0.1%
712 1
 
0.1%
34149 1
 
0.1%
3256 1
 
0.1%
19056 1
 
0.1%
30951 1
 
0.1%
6659 1
 
0.1%
8531 1
 
0.1%
25100 1
 
0.1%
5152 1
 
0.1%
Other values (13) 13
 
1.8%
(Missing) 706
96.8%
ValueCountFrequency (%)
712 1
0.1%
1888 1
0.1%
3005 1
0.1%
3256 1
0.1%
3418 1
0.1%
4920 1
0.1%
5152 1
0.1%
5199 1
0.1%
6659 1
0.1%
8531 1
0.1%
ValueCountFrequency (%)
47170 1
0.1%
35853 1
0.1%
34149 1
0.1%
33858 1
0.1%
32413 1
0.1%
31493 1
0.1%
30951 1
0.1%
26056 1
0.1%
25100 1
0.1%
19056 1
0.1%

show_thetvdb
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct521
Distinct (%)100.0%
Missing208
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean390447.08
Minimum70366
Maximum459449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:26.157984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum70366
5-th percentile245981
Q1373577
median422819
Q3442306
95-th percentile445215
Maximum459449
Range389083
Interquartile range (IQR)68729

Descriptive statistics

Standard deviation81041.356
Coefficient of variation (CV)0.20756041
Kurtosis5.459844
Mean390447.08
Median Absolute Deviation (MAD)21176
Skewness-2.3194011
Sum2.0342293 × 108
Variance6.5677014 × 109
MonotonicityNot monotonic
2025-03-31T08:49:26.264374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441935 1
 
0.1%
439696 1
 
0.1%
413379 1
 
0.1%
444536 1
 
0.1%
388383 1
 
0.1%
406729 1
 
0.1%
409158 1
 
0.1%
433335 1
 
0.1%
442384 1
 
0.1%
287953 1
 
0.1%
Other values (511) 511
70.1%
(Missing) 208
28.5%
ValueCountFrequency (%)
70366 1
0.1%
71178 1
0.1%
71753 1
0.1%
71756 1
0.1%
72716 1
0.1%
76355 1
0.1%
76719 1
0.1%
76779 1
0.1%
78006 1
0.1%
78419 1
0.1%
ValueCountFrequency (%)
459449 1
0.1%
457794 1
0.1%
457021 1
0.1%
454395 1
0.1%
451493 1
0.1%
449126 1
0.1%
448382 1
0.1%
447745 1
0.1%
447439 1
0.1%
447332 1
0.1%

show_imdb
Text

MISSING 

Distinct372
Distinct (%)100.0%
Missing357
Missing (%)49.0%
Memory size38.2 KiB
2025-03-31T08:49:26.557288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.75
Min length9

Characters and Unicode

Total characters3.627
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique372 ?
Unique (%)100.0%

Sample

1st rowtt20603062
2nd rowtt15816496
3rd rowtt19756810
4th rowtt27432264
5th rowtt27801903
ValueCountFrequency (%)
tt27052533 1
 
0.3%
tt30439032 1
 
0.3%
tt6094268 1
 
0.3%
tt27801903 1
 
0.3%
tt19756810 1
 
0.3%
tt27494999 1
 
0.3%
tt27997713 1
 
0.3%
tt28080721 1
 
0.3%
tt25377596 1
 
0.3%
tt14094206 1
 
0.3%
Other values (362) 362
97.3%
2025-03-31T08:49:26.868199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 744
20.5%
2 413
11.4%
0 328
9.0%
1 325
9.0%
4 293
 
8.1%
8 287
 
7.9%
3 281
 
7.7%
6 279
 
7.7%
5 233
 
6.4%
9 226
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2883
79.5%
Lowercase Letter 744
 
20.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 413
14.3%
0 328
11.4%
1 325
11.3%
4 293
10.2%
8 287
10.0%
3 281
9.7%
6 279
9.7%
5 233
8.1%
9 226
7.8%
7 218
7.6%
Lowercase Letter
ValueCountFrequency (%)
t 744
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2883
79.5%
Latin 744
 
20.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 413
14.3%
0 328
11.4%
1 325
11.3%
4 293
10.2%
8 287
10.0%
3 281
9.7%
6 279
9.7%
5 233
8.1%
9 226
7.8%
7 218
7.6%
Latin
ValueCountFrequency (%)
t 744
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 744
20.5%
2 413
11.4%
0 328
9.0%
1 325
9.0%
4 293
 
8.1%
8 287
 
7.9%
3 281
 
7.7%
6 279
 
7.7%
5 233
 
6.4%
9 226
 
6.2%

show_image_medium
URL

MISSING 

Distinct696
Distinct (%)100.0%
Missing33
Missing (%)4.5%
Memory size88.8 KiB
https://static.tvmaze.com/uploads/images/medium_portrait/409/1023562.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_portrait/507/1269695.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_portrait/282/707449.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_portrait/388/970660.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_portrait/383/957782.jpg
 
1
Other values (691)
691 
(Missing)
 
33
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/409/1023562.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/507/1269695.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/282/707449.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/388/970660.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/383/957782.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/488/1221089.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/496/1241006.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/495/1237905.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/55/137529.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_portrait/454/1135081.jpg 1
 
0.1%
Other values (686) 686
94.1%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
https 696
95.5%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
static.tvmaze.com 696
95.5%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
/uploads/images/medium_portrait/507/1269695.jpg 1
 
0.1%
/uploads/images/medium_portrait/282/707449.jpg 1
 
0.1%
/uploads/images/medium_portrait/388/970660.jpg 1
 
0.1%
/uploads/images/medium_portrait/383/957782.jpg 1
 
0.1%
/uploads/images/medium_portrait/488/1221089.jpg 1
 
0.1%
/uploads/images/medium_portrait/496/1241006.jpg 1
 
0.1%
/uploads/images/medium_portrait/495/1237905.jpg 1
 
0.1%
/uploads/images/medium_portrait/498/1246029.jpg 1
 
0.1%
/uploads/images/medium_portrait/556/1390364.jpg 1
 
0.1%
/uploads/images/medium_portrait/558/1395332.jpg 1
 
0.1%
Other values (686) 686
94.1%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
696
95.5%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
696
95.5%
(Missing) 33
 
4.5%

show_image_original
URL

MISSING 

Distinct696
Distinct (%)100.0%
Missing33
Missing (%)4.5%
Memory size90.9 KiB
https://static.tvmaze.com/uploads/images/original_untouched/409/1023562.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/507/1269695.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/282/707449.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/388/970660.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/383/957782.jpg
 
1
Other values (691)
691 
(Missing)
 
33
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/409/1023562.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/507/1269695.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/282/707449.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/388/970660.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/383/957782.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/488/1221089.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/496/1241006.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/495/1237905.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/55/137529.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/454/1135081.jpg 1
 
0.1%
Other values (686) 686
94.1%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
https 696
95.5%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
static.tvmaze.com 696
95.5%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
/uploads/images/original_untouched/507/1269695.jpg 1
 
0.1%
/uploads/images/original_untouched/282/707449.jpg 1
 
0.1%
/uploads/images/original_untouched/388/970660.jpg 1
 
0.1%
/uploads/images/original_untouched/383/957782.jpg 1
 
0.1%
/uploads/images/original_untouched/488/1221089.jpg 1
 
0.1%
/uploads/images/original_untouched/496/1241006.jpg 1
 
0.1%
/uploads/images/original_untouched/495/1237905.jpg 1
 
0.1%
/uploads/images/original_untouched/498/1246029.jpg 1
 
0.1%
/uploads/images/original_untouched/556/1390364.jpg 1
 
0.1%
/uploads/images/original_untouched/558/1395332.jpg 1
 
0.1%
Other values (686) 686
94.1%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
696
95.5%
(Missing) 33
 
4.5%
ValueCountFrequency (%)
696
95.5%
(Missing) 33
 
4.5%

show_summary
Text

MISSING 

Distinct632
Distinct (%)100.0%
Missing97
Missing (%)13.3%
Memory size342.1 KiB
2025-03-31T08:49:27.065545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length2.103
Median length514
Mean length352.35285
Min length39

Characters and Unicode

Total characters222.687
Distinct characters307
Distinct categories14 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique632 ?
Unique (%)100.0%

Sample

1st row<p>30-year-old Sasha is a serial loser trying with all his might to become a successful business coach. Fate leads him to billionaire Oleg Kalugin, who decides to hire the resilient dreamer as a coach. However, Kalugin does not need advice on business, which the guy knows nothing about, but the secret of his ability to sincerely enjoy life despite poverty and other problems. From this moment, drastic changes begin in Sasha's life, which show the real price of success. Step by step, he moves further and further away from happiness, plunging into the world of deception, betrayal, hatred and really big, but dirty money.</p>
2nd row<p>Lulin wasn't expecting to develop alien powers, or intergalactic invaders to crash her school science comp, but hey, Year 6 is full of surprises!</p>
3rd row<p>Ten thousand years ago, Muyun's fairy King was secretly accounted for by holding a Zhuxian figure, and after a long sleep, he awakened in the famous "Muyun waste" of the southern Yun Empire in the Land of Heaven. When Muyun first woke up, he was deliberately bothered by the student Miaoxianyu. Muyun easily completed the Miaoxianyu trap, and he gave more and more alchemy skills by analogy, so the Alchemy masters outside the door could not ask for appreciation. Endless back home, Mu Yun learns that he is about to marry Nona Qin Qin Mengyao. Qin Mengyao was cold and toxic, but could not live until he was 20 years old. The marriage was only for the sake of pastoralists and family of Qin. However, under Mu Linchen's enticement, Mu Yun approves the family's issue on the condition of alchemy.</p><p><br /> </p>
4th row<p>The former mighty Gods of the heavens, after ten thousand lifetimes of reincarnation tragically destroyed! The cruel curse, the hatred of ten thousand lives, Tan Yun determined, no longer sink! The most important thing is that you have to be able to get to the top of the world, step by step, stepping on the corpses of your enemies! To kill against the sky, across all the worlds, only I am the supreme!</p>
5th row<p>Of all the races in the world only 3 stand at the top. Each race possesses a master of the martial arts, a Golden Martial God. The balance of power appears to be shifting after Wang Fan's brother is killed triggering a chain of events that will begin to turn the world upside down. Disguising himself as the Silver Tiger King, Wang Fan becomes a symbol of power and the hope of the human race.<br />Some days Wang Fan is a boy genius that tries to blend in as a smart but helpless student. Other days he becomes a powerful tiger. Every race has their eyes on the Silver Tiger King as he continues to surpass every precedent and excel far beyond his peers all while under the guise of an unassuming student.</p>
ValueCountFrequency (%)
the 2264
 
6.2%
and 1306
 
3.6%
of 1091
 
3.0%
a 977
 
2.7%
to 919
 
2.5%
in 707
 
1.9%
is 431
 
1.2%
with 344
 
0.9%
on 286
 
0.8%
his 279
 
0.8%
Other values (8615) 27758
76.3%
2025-03-31T08:49:27.357716image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35679
16.0%
e 21311
 
9.6%
t 14297
 
6.4%
a 13605
 
6.1%
i 12824
 
5.8%
n 12598
 
5.7%
o 12536
 
5.6%
s 11633
 
5.2%
r 10779
 
4.8%
h 9012
 
4.0%
Other values (297) 68413
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 169811
76.3%
Space Separator 35736
 
16.0%
Uppercase Letter 6223
 
2.8%
Other Punctuation 5868
 
2.6%
Math Symbol 3575
 
1.6%
Decimal Number 545
 
0.2%
Dash Punctuation 501
 
0.2%
Other Letter 313
 
0.1%
Open Punctuation 50
 
< 0.1%
Close Punctuation 50
 
< 0.1%
Other values (4) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
5.1%
10
 
3.2%
9
 
2.9%
8
 
2.6%
8
 
2.6%
7
 
2.2%
6
 
1.9%
6
 
1.9%
5
 
1.6%
5
 
1.6%
Other values (165) 233
74.4%
Lowercase Letter
ValueCountFrequency (%)
e 21311
12.5%
t 14297
 
8.4%
a 13605
 
8.0%
i 12824
 
7.6%
n 12598
 
7.4%
o 12536
 
7.4%
s 11633
 
6.9%
r 10779
 
6.3%
h 9012
 
5.3%
l 6987
 
4.1%
Other values (48) 44229
26.0%
Uppercase Letter
ValueCountFrequency (%)
T 630
 
10.1%
S 515
 
8.3%
A 478
 
7.7%
C 353
 
5.7%
M 345
 
5.5%
W 322
 
5.2%
H 305
 
4.9%
L 298
 
4.8%
B 289
 
4.6%
D 268
 
4.3%
Other values (20) 2420
38.9%
Other Punctuation
ValueCountFrequency (%)
, 2132
36.3%
. 1752
29.9%
/ 918
15.6%
' 429
 
7.3%
" 289
 
4.9%
? 106
 
1.8%
! 86
 
1.5%
: 65
 
1.1%
; 37
 
0.6%
20
 
0.3%
Other values (6) 34
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 180
33.0%
1 101
18.5%
2 83
15.2%
9 47
 
8.6%
5 32
 
5.9%
3 30
 
5.5%
4 27
 
5.0%
8 21
 
3.9%
6 15
 
2.8%
7 9
 
1.7%
Math Symbol
ValueCountFrequency (%)
< 1787
50.0%
> 1787
50.0%
+ 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 450
89.8%
26
 
5.2%
25
 
5.0%
Currency Symbol
ValueCountFrequency (%)
$ 6
75.0%
1
 
12.5%
£ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
35679
99.8%
  57
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 47
94.0%
[ 3
 
6.0%
Close Punctuation
ValueCountFrequency (%)
) 47
94.0%
] 3
 
6.0%
Initial Punctuation
ValueCountFrequency (%)
5
100.0%
Modifier Letter
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 176019
79.0%
Common 46340
 
20.8%
Han 309
 
0.1%
Cyrillic 8
 
< 0.1%
Greek 7
 
< 0.1%
Katakana 4
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
16
 
5.2%
10
 
3.2%
9
 
2.9%
8
 
2.6%
8
 
2.6%
7
 
2.3%
6
 
1.9%
6
 
1.9%
5
 
1.6%
5
 
1.6%
Other values (161) 229
74.1%
Latin
ValueCountFrequency (%)
e 21311
12.1%
t 14297
 
8.1%
a 13605
 
7.7%
i 12824
 
7.3%
n 12598
 
7.2%
o 12536
 
7.1%
s 11633
 
6.6%
r 10779
 
6.1%
h 9012
 
5.1%
l 6987
 
4.0%
Other values (64) 50437
28.7%
Common
ValueCountFrequency (%)
35679
77.0%
, 2132
 
4.6%
< 1787
 
3.9%
> 1787
 
3.9%
. 1752
 
3.8%
/ 918
 
2.0%
- 450
 
1.0%
' 429
 
0.9%
" 289
 
0.6%
0 180
 
0.4%
Other values (34) 937
 
2.0%
Cyrillic
ValueCountFrequency (%)
и 2
25.0%
н 1
12.5%
о 1
12.5%
А 1
12.5%
п 1
12.5%
т 1
12.5%
д 1
12.5%
Greek
ValueCountFrequency (%)
ς 1
14.3%
έ 1
14.3%
Κ 1
14.3%
ω 1
14.3%
σ 1
14.3%
τ 1
14.3%
λ 1
14.3%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222106
99.7%
CJK 309
 
0.1%
None 186
 
0.1%
Punctuation 71
 
< 0.1%
Cyrillic 8
 
< 0.1%
Katakana 5
 
< 0.1%
Currency Symbols 1
 
< 0.1%
Dingbats 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35679
16.1%
e 21311
 
9.6%
t 14297
 
6.4%
a 13605
 
6.1%
i 12824
 
5.8%
n 12598
 
5.7%
o 12536
 
5.6%
s 11633
 
5.2%
r 10779
 
4.9%
h 9012
 
4.1%
Other values (75) 67832
30.5%
None
ValueCountFrequency (%)
  57
30.6%
ä 22
 
11.8%
20
 
10.8%
å 16
 
8.6%
á 14
 
7.5%
ö 12
 
6.5%
é 6
 
3.2%
č 4
 
2.2%
ñ 4
 
2.2%
í 4
 
2.2%
Other values (23) 27
14.5%
Punctuation
ValueCountFrequency (%)
26
36.6%
25
35.2%
15
21.1%
5
 
7.0%
CJK
ValueCountFrequency (%)
16
 
5.2%
10
 
3.2%
9
 
2.9%
8
 
2.6%
8
 
2.6%
7
 
2.3%
6
 
1.9%
6
 
1.9%
5
 
1.6%
5
 
1.6%
Other values (161) 229
74.1%
Cyrillic
ValueCountFrequency (%)
и 2
25.0%
н 1
12.5%
о 1
12.5%
А 1
12.5%
п 1
12.5%
т 1
12.5%
д 1
12.5%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
Katakana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Dingbats
ValueCountFrequency (%)
1
100.0%

show_updated
Real number (ℝ)

UNIQUE 

Distinct729
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7253751 × 109
Minimum1.6991738 × 109
Maximum1.7434205 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:27.463973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.6991738 × 109
5-th percentile1.7049509 × 109
Q11.7096806 × 109
median1.7284768 × 109
Q31.7397113 × 109
95-th percentile1.743198 × 109
Maximum1.7434205 × 109
Range44246726
Interquartile range (IQR)30030764

Descriptive statistics

Standard deviation14651086
Coefficient of variation (CV)0.0084915367
Kurtosis-1.6086526
Mean1.7253751 × 109
Median Absolute Deviation (MAD)13733869
Skewness-0.17616674
Sum1.2577984 × 1012
Variance2.1465431 × 1014
MonotonicityNot monotonic
2025-03-31T08:49:27.566200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1710010766 1
 
0.1%
1704215354 1
 
0.1%
1704783571 1
 
0.1%
1703404987 1
 
0.1%
1704019326 1
 
0.1%
1735808422 1
 
0.1%
1707351592 1
 
0.1%
1705416247 1
 
0.1%
1705107854 1
 
0.1%
1739711321 1
 
0.1%
Other values (719) 719
98.6%
ValueCountFrequency (%)
1699173762 1
0.1%
1699196321 1
0.1%
1700067953 1
0.1%
1701776723 1
0.1%
1703096478 1
0.1%
1703404987 1
0.1%
1703852377 1
0.1%
1703934794 1
0.1%
1704019326 1
0.1%
1704104449 1
0.1%
ValueCountFrequency (%)
1743420488 1
0.1%
1743419607 1
0.1%
1743416269 1
0.1%
1743414778 1
0.1%
1743413232 1
0.1%
1743407546 1
0.1%
1743402229 1
0.1%
1743401581 1
0.1%
1743401207 1
0.1%
1743383106 1
0.1%

show_self_href
URL

UNIQUE 

Distinct729
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
https://api.tvmaze.com/shows/75220
 
1
https://api.tvmaze.com/shows/51908
 
1
https://api.tvmaze.com/shows/59205
 
1
https://api.tvmaze.com/shows/59484
 
1
https://api.tvmaze.com/shows/72871
 
1
Other values (724)
724 
ValueCountFrequency (%)
https://api.tvmaze.com/shows/75220 1
 
0.1%
https://api.tvmaze.com/shows/51908 1
 
0.1%
https://api.tvmaze.com/shows/59205 1
 
0.1%
https://api.tvmaze.com/shows/59484 1
 
0.1%
https://api.tvmaze.com/shows/72871 1
 
0.1%
https://api.tvmaze.com/shows/73221 1
 
0.1%
https://api.tvmaze.com/shows/73590 1
 
0.1%
https://api.tvmaze.com/shows/73893 1
 
0.1%
https://api.tvmaze.com/shows/73780 1
 
0.1%
https://api.tvmaze.com/shows/53123 1
 
0.1%
Other values (719) 719
98.6%
ValueCountFrequency (%)
https 729
100.0%
ValueCountFrequency (%)
api.tvmaze.com 729
100.0%
ValueCountFrequency (%)
/shows/75220 1
 
0.1%
/shows/51908 1
 
0.1%
/shows/59205 1
 
0.1%
/shows/59484 1
 
0.1%
/shows/72871 1
 
0.1%
/shows/73221 1
 
0.1%
/shows/73590 1
 
0.1%
/shows/73893 1
 
0.1%
/shows/73780 1
 
0.1%
/shows/53123 1
 
0.1%
Other values (719) 719
98.6%
ValueCountFrequency (%)
729
100.0%
ValueCountFrequency (%)
729
100.0%
Distinct729
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
https://api.tvmaze.com/episodes/2792942
 
1
https://api.tvmaze.com/episodes/2730595
 
1
https://api.tvmaze.com/episodes/2719129
 
1
https://api.tvmaze.com/episodes/2718223
 
1
https://api.tvmaze.com/episodes/2692657
 
1
Other values (724)
724 
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2792942 1
 
0.1%
https://api.tvmaze.com/episodes/2730595 1
 
0.1%
https://api.tvmaze.com/episodes/2719129 1
 
0.1%
https://api.tvmaze.com/episodes/2718223 1
 
0.1%
https://api.tvmaze.com/episodes/2692657 1
 
0.1%
https://api.tvmaze.com/episodes/3098220 1
 
0.1%
https://api.tvmaze.com/episodes/2730985 1
 
0.1%
https://api.tvmaze.com/episodes/2743354 1
 
0.1%
https://api.tvmaze.com/episodes/2732803 1
 
0.1%
https://api.tvmaze.com/episodes/3115667 1
 
0.1%
Other values (719) 719
98.6%
ValueCountFrequency (%)
https 729
100.0%
ValueCountFrequency (%)
api.tvmaze.com 729
100.0%
ValueCountFrequency (%)
/episodes/2792942 1
 
0.1%
/episodes/2730595 1
 
0.1%
/episodes/2719129 1
 
0.1%
/episodes/2718223 1
 
0.1%
/episodes/2692657 1
 
0.1%
/episodes/3098220 1
 
0.1%
/episodes/2730985 1
 
0.1%
/episodes/2743354 1
 
0.1%
/episodes/2732803 1
 
0.1%
/episodes/3115667 1
 
0.1%
Other values (719) 719
98.6%
ValueCountFrequency (%)
729
100.0%
ValueCountFrequency (%)
729
100.0%
Distinct562
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2025-03-31T08:49:27.814920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length120
Median length92
Mean length19.570645
Min length2

Characters and Unicode

Total characters14.267
Distinct characters238
Distinct categories13 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique514 ?
Unique (%)70.5%

Sample

1st rowСерия 10
2nd rowСерия 30
3rd rowСерия 10
4th rowСерия 12
5th rowСерия 10
ValueCountFrequency (%)
episode 233
 
9.0%
the 98
 
3.8%
48
 
1.9%
серия 31
 
1.2%
24 27
 
1.0%
6 27
 
1.0%
8 26
 
1.0%
to 21
 
0.8%
and 20
 
0.8%
12 18
 
0.7%
Other values (1448) 2026
78.7%
2025-03-31T08:49:28.306742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1846
 
12.9%
e 1021
 
7.2%
i 708
 
5.0%
o 702
 
4.9%
s 611
 
4.3%
a 595
 
4.2%
n 526
 
3.7%
t 451
 
3.2%
d 439
 
3.1%
r 429
 
3.0%
Other values (228) 6939
48.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9097
63.8%
Uppercase Letter 2036
 
14.3%
Space Separator 1846
 
12.9%
Decimal Number 811
 
5.7%
Other Punctuation 274
 
1.9%
Other Letter 96
 
0.7%
Dash Punctuation 39
 
0.3%
Math Symbol 26
 
0.2%
Open Punctuation 16
 
0.1%
Close Punctuation 16
 
0.1%
Other values (3) 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1021
 
11.2%
i 708
 
7.8%
o 702
 
7.7%
s 611
 
6.7%
a 595
 
6.5%
n 526
 
5.8%
t 451
 
5.0%
d 439
 
4.8%
r 429
 
4.7%
p 344
 
3.8%
Other values (89) 3271
36.0%
Uppercase Letter
ValueCountFrequency (%)
E 315
 
15.5%
T 142
 
7.0%
S 132
 
6.5%
A 116
 
5.7%
C 87
 
4.3%
B 85
 
4.2%
M 78
 
3.8%
P 74
 
3.6%
R 71
 
3.5%
F 67
 
3.3%
Other values (51) 869
42.7%
Other Letter
ValueCountFrequency (%)
ل 9
 
9.4%
ا 9
 
9.4%
و 8
 
8.3%
ة 6
 
6.2%
د 5
 
5.2%
ع 4
 
4.2%
م 4
 
4.2%
أ 4
 
4.2%
ر 4
 
4.2%
ب 4
 
4.2%
Other values (31) 39
40.6%
Other Punctuation
ValueCountFrequency (%)
, 82
29.9%
. 51
18.6%
' 32
 
11.7%
: 30
 
10.9%
# 23
 
8.4%
! 15
 
5.5%
? 13
 
4.7%
" 10
 
3.6%
/ 10
 
3.6%
& 5
 
1.8%
Other values (2) 3
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 161
19.9%
1 149
18.4%
4 93
11.5%
0 92
11.3%
6 81
10.0%
3 72
8.9%
5 51
 
6.3%
8 51
 
6.3%
7 34
 
4.2%
9 27
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 28
71.8%
8
 
20.5%
3
 
7.7%
Math Symbol
ValueCountFrequency (%)
| 22
84.6%
~ 3
 
11.5%
+ 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 14
87.5%
[ 2
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 14
87.5%
] 2
 
12.5%
Initial Punctuation
ValueCountFrequency (%)
« 4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
1846
100.0%
Final Punctuation
ValueCountFrequency (%)
» 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9327
65.4%
Common 3038
 
21.3%
Cyrillic 1755
 
12.3%
Arabic 79
 
0.6%
Greek 30
 
0.2%
Armenian 21
 
0.1%
Hangul 17
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1021
 
10.9%
i 708
 
7.6%
o 702
 
7.5%
s 611
 
6.6%
a 595
 
6.4%
n 526
 
5.6%
t 451
 
4.8%
d 439
 
4.7%
r 429
 
4.6%
p 344
 
3.7%
Other values (58) 3501
37.5%
Cyrillic
ValueCountFrequency (%)
а 147
 
8.4%
е 140
 
8.0%
р 128
 
7.3%
и 122
 
7.0%
о 115
 
6.6%
н 85
 
4.8%
т 76
 
4.3%
в 68
 
3.9%
с 62
 
3.5%
я 59
 
3.4%
Other values (52) 753
42.9%
Common
ValueCountFrequency (%)
1846
60.8%
2 161
 
5.3%
1 149
 
4.9%
4 93
 
3.1%
0 92
 
3.0%
, 82
 
2.7%
6 81
 
2.7%
3 72
 
2.4%
. 51
 
1.7%
5 51
 
1.7%
Other values (27) 360
 
11.8%
Arabic
ValueCountFrequency (%)
ل 9
11.4%
ا 9
11.4%
و 8
 
10.1%
ة 6
 
7.6%
د 5
 
6.3%
ع 4
 
5.1%
م 4
 
5.1%
أ 4
 
5.1%
ر 4
 
5.1%
ب 4
 
5.1%
Other values (15) 22
27.8%
Greek
ValueCountFrequency (%)
α 4
13.3%
κ 3
 
10.0%
ο 2
 
6.7%
ν 2
 
6.7%
ό 2
 
6.7%
ώ 2
 
6.7%
ε 2
 
6.7%
γ 2
 
6.7%
τ 2
 
6.7%
Δ 1
 
3.3%
Other values (8) 8
26.7%
Hangul
ValueCountFrequency (%)
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (6) 6
35.3%
Armenian
ValueCountFrequency (%)
ր 6
28.6%
ե 3
14.3%
կ 2
 
9.5%
ք 2
 
9.5%
ս 1
 
4.8%
ն 1
 
4.8%
Օ 1
 
4.8%
դ 1
 
4.8%
ի 1
 
4.8%
ծ 1
 
4.8%
Other values (2) 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12283
86.1%
Cyrillic 1755
 
12.3%
None 96
 
0.7%
Arabic 79
 
0.6%
Armenian 21
 
0.1%
Hangul 17
 
0.1%
Punctuation 15
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1846
 
15.0%
e 1021
 
8.3%
i 708
 
5.8%
o 702
 
5.7%
s 611
 
5.0%
a 595
 
4.8%
n 526
 
4.3%
t 451
 
3.7%
d 439
 
3.6%
r 429
 
3.5%
Other values (71) 4955
40.3%
Cyrillic
ValueCountFrequency (%)
а 147
 
8.4%
е 140
 
8.0%
р 128
 
7.3%
и 122
 
7.0%
о 115
 
6.6%
н 85
 
4.8%
т 76
 
4.3%
в 68
 
3.9%
с 62
 
3.5%
я 59
 
3.4%
Other values (52) 753
42.9%
None
ValueCountFrequency (%)
ä 12
 
12.5%
ö 9
 
9.4%
á 7
 
7.3%
ø 7
 
7.3%
ü 6
 
6.2%
« 4
 
4.2%
» 4
 
4.2%
α 4
 
4.2%
å 4
 
4.2%
κ 3
 
3.1%
Other values (26) 36
37.5%
Arabic
ValueCountFrequency (%)
ل 9
11.4%
ا 9
11.4%
و 8
 
10.1%
ة 6
 
7.6%
د 5
 
6.3%
ع 4
 
5.1%
م 4
 
5.1%
أ 4
 
5.1%
ر 4
 
5.1%
ب 4
 
5.1%
Other values (15) 22
27.8%
Punctuation
ValueCountFrequency (%)
8
53.3%
3
 
20.0%
2
 
13.3%
1
 
6.7%
1
 
6.7%
Armenian
ValueCountFrequency (%)
ր 6
28.6%
ե 3
14.3%
կ 2
 
9.5%
ք 2
 
9.5%
ս 1
 
4.8%
ն 1
 
4.8%
Օ 1
 
4.8%
դ 1
 
4.8%
ի 1
 
4.8%
ծ 1
 
4.8%
Other values (2) 2
 
9.5%
Hangul
ValueCountFrequency (%)
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (6) 6
35.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

show_image
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing729
Missing (%)100.0%
Memory size11.4 KiB
Distinct64
Distinct (%)100.0%
Missing665
Missing (%)91.2%
Memory size32.0 KiB
https://api.tvmaze.com/episodes/3145312
 
1
https://api.tvmaze.com/episodes/3135346
 
1
https://api.tvmaze.com/episodes/3153024
 
1
https://api.tvmaze.com/episodes/3183364
 
1
https://api.tvmaze.com/episodes/3183339
 
1
Other values (59)
 
59
(Missing)
665 
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/3145312 1
 
0.1%
https://api.tvmaze.com/episodes/3135346 1
 
0.1%
https://api.tvmaze.com/episodes/3153024 1
 
0.1%
https://api.tvmaze.com/episodes/3183364 1
 
0.1%
https://api.tvmaze.com/episodes/3183339 1
 
0.1%
https://api.tvmaze.com/episodes/3180407 1
 
0.1%
https://api.tvmaze.com/episodes/3159124 1
 
0.1%
https://api.tvmaze.com/episodes/3163723 1
 
0.1%
https://api.tvmaze.com/episodes/3184980 1
 
0.1%
https://api.tvmaze.com/episodes/3167831 1
 
0.1%
Other values (54) 54
 
7.4%
(Missing) 665
91.2%
ValueCountFrequency (%)
https 64
 
8.8%
(Missing) 665
91.2%
ValueCountFrequency (%)
api.tvmaze.com 64
 
8.8%
(Missing) 665
91.2%
ValueCountFrequency (%)
/episodes/3145312 1
 
0.1%
/episodes/3135346 1
 
0.1%
/episodes/3153024 1
 
0.1%
/episodes/3183364 1
 
0.1%
/episodes/3183339 1
 
0.1%
/episodes/3180407 1
 
0.1%
/episodes/3159124 1
 
0.1%
/episodes/3163723 1
 
0.1%
/episodes/3184980 1
 
0.1%
/episodes/3167831 1
 
0.1%
Other values (54) 54
 
7.4%
(Missing) 665
91.2%
ValueCountFrequency (%)
64
 
8.8%
(Missing) 665
91.2%
ValueCountFrequency (%)
64
 
8.8%
(Missing) 665
91.2%

show_nextepisode_name
Text

MISSING 

Distinct61
Distinct (%)95.3%
Missing665
Missing (%)91.2%
Memory size30.9 KiB
2025-03-31T08:49:29.503084image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length60
Median length35,5
Mean length15.796875
Min length3

Characters and Unicode

Total characters1.011
Distinct characters89
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)92.2%

Sample

1st rowEpisode 471
2nd rowEpisode 398
3rd rowEpisode 83
4th row01/04/2025
5th rowEpisode 9217
ValueCountFrequency (%)
episode 25
 
13.9%
in 5
 
2.8%
4
 
2.2%
tba 3
 
1.7%
1 3
 
1.7%
the 2
 
1.1%
13 2
 
1.1%
night 2
 
1.1%
2025 2
 
1.1%
83 1
 
0.6%
Other values (131) 131
72.8%
2025-03-31T08:49:29.810534image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
11.5%
e 76
 
7.5%
i 68
 
6.7%
o 51
 
5.0%
s 49
 
4.8%
d 46
 
4.5%
n 42
 
4.2%
p 37
 
3.7%
a 35
 
3.5%
E 33
 
3.3%
Other values (79) 458
45.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 595
58.9%
Uppercase Letter 132
 
13.1%
Decimal Number 127
 
12.6%
Space Separator 116
 
11.5%
Other Punctuation 31
 
3.1%
Dash Punctuation 8
 
0.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 76
12.8%
i 68
11.4%
o 51
 
8.6%
s 49
 
8.2%
d 46
 
7.7%
n 42
 
7.1%
p 37
 
6.2%
a 35
 
5.9%
r 31
 
5.2%
t 24
 
4.0%
Other values (32) 136
22.9%
Uppercase Letter
ValueCountFrequency (%)
E 33
25.0%
S 10
 
7.6%
T 9
 
6.8%
A 9
 
6.8%
P 8
 
6.1%
M 7
 
5.3%
W 7
 
5.3%
B 6
 
4.5%
N 5
 
3.8%
K 4
 
3.0%
Other values (15) 34
25.8%
Decimal Number
ValueCountFrequency (%)
1 22
17.3%
5 18
14.2%
2 18
14.2%
3 14
11.0%
0 13
10.2%
4 12
9.4%
6 11
8.7%
9 8
 
6.3%
7 7
 
5.5%
8 4
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 8
25.8%
, 6
19.4%
/ 6
19.4%
# 3
 
9.7%
: 2
 
6.5%
? 2
 
6.5%
! 2
 
6.5%
' 2
 
6.5%
Space Separator
ValueCountFrequency (%)
116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 701
69.3%
Common 284
28.1%
Cyrillic 26
 
2.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 76
 
10.8%
i 68
 
9.7%
o 51
 
7.3%
s 49
 
7.0%
d 46
 
6.6%
n 42
 
6.0%
p 37
 
5.3%
a 35
 
5.0%
E 33
 
4.7%
r 31
 
4.4%
Other values (40) 233
33.2%
Common
ValueCountFrequency (%)
116
40.8%
1 22
 
7.7%
5 18
 
6.3%
2 18
 
6.3%
3 14
 
4.9%
0 13
 
4.6%
4 12
 
4.2%
6 11
 
3.9%
- 8
 
2.8%
9 8
 
2.8%
Other values (12) 44
 
15.5%
Cyrillic
ValueCountFrequency (%)
я 4
15.4%
е 4
15.4%
и 2
 
7.7%
д 2
 
7.7%
к 2
 
7.7%
р 1
 
3.8%
С 1
 
3.8%
л 1
 
3.8%
а 1
 
3.8%
Р 1
 
3.8%
Other values (7) 7
26.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 979
96.8%
Cyrillic 26
 
2.6%
None 6
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
 
11.8%
e 76
 
7.8%
i 68
 
6.9%
o 51
 
5.2%
s 49
 
5.0%
d 46
 
4.7%
n 42
 
4.3%
p 37
 
3.8%
a 35
 
3.6%
E 33
 
3.4%
Other values (58) 426
43.5%
Cyrillic
ValueCountFrequency (%)
я 4
15.4%
е 4
15.4%
и 2
 
7.7%
д 2
 
7.7%
к 2
 
7.7%
р 1
 
3.8%
С 1
 
3.8%
л 1
 
3.8%
а 1
 
3.8%
Р 1
 
3.8%
Other values (7) 7
26.9%
None
ValueCountFrequency (%)
å 2
33.3%
ø 2
33.3%
ó 1
16.7%
æ 1
16.7%

image.medium
URL

MISSING 

Distinct259
Distinct (%)100.0%
Missing470
Missing (%)64.5%
Memory size51.2 KiB
https://static.tvmaze.com/uploads/images/medium_landscape/498/1245287.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/502/1256239.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/501/1254863.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/497/1244938.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/501/1254418.jpg
 
1
Other values (254)
254 
(Missing)
470 
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/498/1245287.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/502/1256239.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/501/1254863.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/497/1244938.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/501/1254418.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/501/1253527.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/501/1253732.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/515/1288943.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/501/1253774.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/559/1399402.jpg 1
 
0.1%
Other values (249) 249
34.2%
(Missing) 470
64.5%
ValueCountFrequency (%)
https 259
35.5%
(Missing) 470
64.5%
ValueCountFrequency (%)
static.tvmaze.com 259
35.5%
(Missing) 470
64.5%
ValueCountFrequency (%)
/uploads/images/medium_landscape/558/1396046.jpg 1
 
0.1%
/uploads/images/medium_landscape/495/1238394.jpg 1
 
0.1%
/uploads/images/medium_landscape/497/1244938.jpg 1
 
0.1%
/uploads/images/medium_landscape/501/1254863.jpg 1
 
0.1%
/uploads/images/medium_landscape/501/1254785.jpg 1
 
0.1%
/uploads/images/medium_landscape/501/1254525.jpg 1
 
0.1%
/uploads/images/medium_landscape/552/1380934.jpg 1
 
0.1%
/uploads/images/medium_landscape/513/1284894.jpg 1
 
0.1%
/uploads/images/medium_landscape/504/1260943.jpg 1
 
0.1%
/uploads/images/medium_landscape/501/1254019.jpg 1
 
0.1%
Other values (249) 249
34.2%
(Missing) 470
64.5%
ValueCountFrequency (%)
259
35.5%
(Missing) 470
64.5%
ValueCountFrequency (%)
259
35.5%
(Missing) 470
64.5%

image.original
URL

MISSING 

Distinct259
Distinct (%)100.0%
Missing470
Missing (%)64.5%
Memory size51.7 KiB
https://static.tvmaze.com/uploads/images/original_untouched/498/1245287.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/502/1256239.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/501/1254863.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/497/1244938.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/501/1254418.jpg
 
1
Other values (254)
254 
(Missing)
470 
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/498/1245287.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/502/1256239.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/501/1254863.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/497/1244938.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/501/1254418.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/501/1253527.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/501/1253732.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/515/1288943.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/501/1253774.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/559/1399402.jpg 1
 
0.1%
Other values (249) 249
34.2%
(Missing) 470
64.5%
ValueCountFrequency (%)
https 259
35.5%
(Missing) 470
64.5%
ValueCountFrequency (%)
static.tvmaze.com 259
35.5%
(Missing) 470
64.5%
ValueCountFrequency (%)
/uploads/images/original_untouched/558/1396046.jpg 1
 
0.1%
/uploads/images/original_untouched/495/1238394.jpg 1
 
0.1%
/uploads/images/original_untouched/497/1244938.jpg 1
 
0.1%
/uploads/images/original_untouched/501/1254863.jpg 1
 
0.1%
/uploads/images/original_untouched/501/1254785.jpg 1
 
0.1%
/uploads/images/original_untouched/501/1254525.jpg 1
 
0.1%
/uploads/images/original_untouched/552/1380934.jpg 1
 
0.1%
/uploads/images/original_untouched/513/1284894.jpg 1
 
0.1%
/uploads/images/original_untouched/504/1260943.jpg 1
 
0.1%
/uploads/images/original_untouched/501/1254019.jpg 1
 
0.1%
Other values (249) 249
34.2%
(Missing) 470
64.5%
ValueCountFrequency (%)
259
35.5%
(Missing) 470
64.5%
ValueCountFrequency (%)
259
35.5%
(Missing) 470
64.5%

show_network_id
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct41
Distinct (%)77.4%
Missing676
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean452.03774
Minimum1
Maximum1963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:29.905766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q178
median205
Q3758
95-th percentile1573.8
Maximum1963
Range1962
Interquartile range (IQR)680

Descriptive statistics

Standard deviation533.86922
Coefficient of variation (CV)1.181028
Kurtosis0.66966299
Mean452.03774
Median Absolute Deviation (MAD)176
Skewness1.324308
Sum23958
Variance285016.34
MonotonicityNot monotonic
2025-03-31T08:49:30.008208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1039 4
 
0.5%
308 3
 
0.4%
280 2
 
0.3%
1282 2
 
0.3%
2 2
 
0.3%
12 2
 
0.3%
132 2
 
0.3%
1 2
 
0.3%
481 2
 
0.3%
3 1
 
0.1%
Other values (31) 31
 
4.3%
(Missing) 676
92.7%
ValueCountFrequency (%)
1 2
0.3%
2 2
0.3%
3 1
0.1%
5 1
0.1%
12 2
0.3%
29 1
0.1%
36 1
0.1%
40 1
0.1%
52 1
0.1%
76 1
0.1%
ValueCountFrequency (%)
1963 1
 
0.1%
1766 1
 
0.1%
1683 1
 
0.1%
1501 1
 
0.1%
1328 1
 
0.1%
1282 2
0.3%
1058 1
 
0.1%
1039 4
0.5%
790 1
 
0.1%
758 1
 
0.1%

show_network_name
Text

MISSING 

Distinct40
Distinct (%)75.5%
Missing676
Missing (%)92.7%
Memory size29.9 KiB
2025-03-31T08:49:30.161977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length6.9622642
Min length3

Characters and Unicode

Total characters369
Distinct characters62
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)56.6%

Sample

1st rowMBC
2nd rowBeijing TV
3rd rowtvN
4th rowCCTV-1
5th rowCBC
ValueCountFrequency (%)
tv 6
 
7.6%
disney 5
 
6.3%
junior 4
 
5.1%
тнт 3
 
3.8%
tokyo 3
 
3.8%
beijing 2
 
2.5%
tvn 2
 
2.5%
abc 2
 
2.5%
mx 2
 
2.5%
cctv-1 2
 
2.5%
Other values (42) 48
60.8%
2025-03-31T08:49:30.415580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
7.0%
n 24
 
6.5%
C 24
 
6.5%
e 20
 
5.4%
T 20
 
5.4%
i 19
 
5.1%
o 18
 
4.9%
B 18
 
4.9%
a 16
 
4.3%
N 12
 
3.3%
Other values (52) 172
46.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 180
48.8%
Uppercase Letter 146
39.6%
Space Separator 26
 
7.0%
Decimal Number 10
 
2.7%
Dash Punctuation 6
 
1.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 24
13.3%
e 20
11.1%
i 19
10.6%
o 18
10.0%
a 16
 
8.9%
y 9
 
5.0%
r 9
 
5.0%
l 8
 
4.4%
s 7
 
3.9%
t 6
 
3.3%
Other values (20) 44
24.4%
Uppercase Letter
ValueCountFrequency (%)
C 24
16.4%
T 20
13.7%
B 18
12.3%
N 12
8.2%
V 11
 
7.5%
D 8
 
5.5%
Т 7
 
4.8%
S 7
 
4.8%
M 5
 
3.4%
A 5
 
3.4%
Other values (14) 29
19.9%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
3 2
20.0%
4 1
 
10.0%
8 1
 
10.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 305
82.7%
Common 43
 
11.7%
Cyrillic 21
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 24
 
7.9%
C 24
 
7.9%
e 20
 
6.6%
T 20
 
6.6%
i 19
 
6.2%
o 18
 
5.9%
B 18
 
5.9%
a 16
 
5.2%
N 12
 
3.9%
V 11
 
3.6%
Other values (32) 123
40.3%
Cyrillic
ValueCountFrequency (%)
Т 7
33.3%
Н 3
14.3%
а 2
 
9.5%
т 1
 
4.8%
я 1
 
4.8%
П 1
 
4.8%
В 1
 
4.8%
ы 1
 
4.8%
й 1
 
4.8%
к 1
 
4.8%
Other values (2) 2
 
9.5%
Common
ValueCountFrequency (%)
26
60.5%
- 6
 
14.0%
1 3
 
7.0%
2 3
 
7.0%
3 2
 
4.7%
4 1
 
2.3%
8 1
 
2.3%
& 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 346
93.8%
Cyrillic 21
 
5.7%
None 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
 
7.5%
n 24
 
6.9%
C 24
 
6.9%
e 20
 
5.8%
T 20
 
5.8%
i 19
 
5.5%
o 18
 
5.2%
B 18
 
5.2%
a 16
 
4.6%
N 12
 
3.5%
Other values (39) 149
43.1%
Cyrillic
ValueCountFrequency (%)
Т 7
33.3%
Н 3
14.3%
а 2
 
9.5%
т 1
 
4.8%
я 1
 
4.8%
П 1
 
4.8%
В 1
 
4.8%
ы 1
 
4.8%
й 1
 
4.8%
к 1
 
4.8%
Other values (2) 2
 
9.5%
None
ValueCountFrequency (%)
é 2
100.0%

show_network_country_name
Categorical

HIGH CORRELATION  MISSING 

Distinct14
Distinct (%)26.4%
Missing676
Missing (%)92.7%
Memory size45.8 KiB
United States
19 
China
Russian Federation
Korea, Republic of
Denmark
Other values (9)
14 

Length

Max length18
Median length14
Mean length11.113208
Min length5

Characters and Unicode

Total characters589
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)11.3%

Sample

1st rowKorea, Republic of
2nd rowChina
3rd rowKorea, Republic of
4th rowChina
5th rowCanada

Common Values

ValueCountFrequency (%)
United States 19
 
2.6%
China 7
 
1.0%
Russian Federation 5
 
0.7%
Korea, Republic of 4
 
0.5%
Denmark 4
 
0.5%
Japan 4
 
0.5%
Canada 2
 
0.3%
United Kingdom 2
 
0.3%
Czech Republic 1
 
0.1%
Netherlands 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 676
92.7%

Length

2025-03-31T08:49:30.517753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
united 21
23.6%
states 19
21.3%
china 7
 
7.9%
russian 5
 
5.6%
federation 5
 
5.6%
republic 5
 
5.6%
korea 4
 
4.5%
of 4
 
4.5%
denmark 4
 
4.5%
japan 4
 
4.5%
Other values (9) 11
12.4%

Most occurring characters

ValueCountFrequency (%)
e 67
11.4%
t 67
11.4%
a 65
11.0%
n 52
 
8.8%
i 48
 
8.1%
36
 
6.1%
d 32
 
5.4%
s 31
 
5.3%
U 21
 
3.6%
S 20
 
3.4%
Other values (24) 150
25.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 464
78.8%
Uppercase Letter 85
 
14.4%
Space Separator 36
 
6.1%
Other Punctuation 4
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 67
14.4%
t 67
14.4%
a 65
14.0%
n 52
11.2%
i 48
10.3%
d 32
6.9%
s 31
6.7%
r 17
 
3.7%
o 15
 
3.2%
u 12
 
2.6%
Other values (11) 58
12.5%
Uppercase Letter
ValueCountFrequency (%)
U 21
24.7%
S 20
23.5%
C 10
11.8%
R 10
11.8%
F 6
 
7.1%
K 6
 
7.1%
D 4
 
4.7%
J 4
 
4.7%
A 2
 
2.4%
N 1
 
1.2%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 549
93.2%
Common 40
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 67
12.2%
t 67
12.2%
a 65
11.8%
n 52
9.5%
i 48
 
8.7%
d 32
 
5.8%
s 31
 
5.6%
U 21
 
3.8%
S 20
 
3.6%
r 17
 
3.1%
Other values (22) 129
23.5%
Common
ValueCountFrequency (%)
36
90.0%
, 4
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 589
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 67
11.4%
t 67
11.4%
a 65
11.0%
n 52
 
8.8%
i 48
 
8.1%
36
 
6.1%
d 32
 
5.4%
s 31
 
5.3%
U 21
 
3.6%
S 20
 
3.4%
Other values (24) 150
25.5%

show_network_country_code
Categorical

HIGH CORRELATION  MISSING 

Distinct14
Distinct (%)26.4%
Missing676
Missing (%)92.7%
Memory size45.3 KiB
US
19 
CN
RU
KR
DK
Other values (9)
14 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters106
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)11.3%

Sample

1st rowKR
2nd rowCN
3rd rowKR
4th rowCN
5th rowCA

Common Values

ValueCountFrequency (%)
US 19
 
2.6%
CN 7
 
1.0%
RU 5
 
0.7%
KR 4
 
0.5%
DK 4
 
0.5%
JP 4
 
0.5%
CA 2
 
0.3%
GB 2
 
0.3%
CZ 1
 
0.1%
NL 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 676
92.7%

Length

2025-03-31T08:49:30.603977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
us 19
35.8%
cn 7
 
13.2%
ru 5
 
9.4%
kr 4
 
7.5%
dk 4
 
7.5%
jp 4
 
7.5%
ca 2
 
3.8%
gb 2
 
3.8%
cz 1
 
1.9%
nl 1
 
1.9%
Other values (4) 4
 
7.5%

Most occurring characters

ValueCountFrequency (%)
U 25
23.6%
S 20
18.9%
C 10
 
9.4%
R 10
 
9.4%
N 8
 
7.5%
K 8
 
7.5%
D 4
 
3.8%
J 4
 
3.8%
P 4
 
3.8%
A 4
 
3.8%
Other values (6) 9
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 106
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 25
23.6%
S 20
18.9%
C 10
 
9.4%
R 10
 
9.4%
N 8
 
7.5%
K 8
 
7.5%
D 4
 
3.8%
J 4
 
3.8%
P 4
 
3.8%
A 4
 
3.8%
Other values (6) 9
 
8.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 106
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 25
23.6%
S 20
18.9%
C 10
 
9.4%
R 10
 
9.4%
N 8
 
7.5%
K 8
 
7.5%
D 4
 
3.8%
J 4
 
3.8%
P 4
 
3.8%
A 4
 
3.8%
Other values (6) 9
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 25
23.6%
S 20
18.9%
C 10
 
9.4%
R 10
 
9.4%
N 8
 
7.5%
K 8
 
7.5%
D 4
 
3.8%
J 4
 
3.8%
P 4
 
3.8%
A 4
 
3.8%
Other values (6) 9
 
8.5%

show_network_country_timezone
Categorical

HIGH CORRELATION  MISSING 

Distinct14
Distinct (%)26.4%
Missing676
Missing (%)92.7%
Memory size45.9 KiB
America/New_York
19 
Asia/Shanghai
Asia/Kamchatka
Asia/Seoul
Europe/Copenhagen
Other values (9)
14 

Length

Max length17
Median length16
Mean length14.132075
Min length10

Characters and Unicode

Total characters749
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)11.3%

Sample

1st rowAsia/Seoul
2nd rowAsia/Shanghai
3rd rowAsia/Seoul
4th rowAsia/Shanghai
5th rowAmerica/Toronto

Common Values

ValueCountFrequency (%)
America/New_York 19
 
2.6%
Asia/Shanghai 7
 
1.0%
Asia/Kamchatka 5
 
0.7%
Asia/Seoul 4
 
0.5%
Europe/Copenhagen 4
 
0.5%
Asia/Tokyo 4
 
0.5%
America/Toronto 2
 
0.3%
Europe/London 2
 
0.3%
Europe/Prague 1
 
0.1%
Europe/Amsterdam 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 676
92.7%

Length

2025-03-31T08:49:30.689139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
america/new_york 19
35.8%
asia/shanghai 7
 
13.2%
asia/kamchatka 5
 
9.4%
asia/seoul 4
 
7.5%
europe/copenhagen 4
 
7.5%
asia/tokyo 4
 
7.5%
america/toronto 2
 
3.8%
europe/london 2
 
3.8%
europe/prague 1
 
1.9%
europe/amsterdam 1
 
1.9%
Other values (4) 4
 
7.5%

Most occurring characters

ValueCountFrequency (%)
a 83
 
11.1%
e 64
 
8.5%
r 57
 
7.6%
o 55
 
7.3%
i 54
 
7.2%
/ 53
 
7.1%
A 45
 
6.0%
k 28
 
3.7%
m 28
 
3.7%
c 27
 
3.6%
Other values (23) 255
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 552
73.7%
Uppercase Letter 125
 
16.7%
Other Punctuation 53
 
7.1%
Connector Punctuation 19
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 83
15.0%
e 64
11.6%
r 57
10.3%
o 55
10.0%
i 54
9.8%
k 28
 
5.1%
m 28
 
5.1%
c 27
 
4.9%
s 24
 
4.3%
h 24
 
4.3%
Other values (10) 108
19.6%
Uppercase Letter
ValueCountFrequency (%)
A 45
36.0%
Y 19
15.2%
N 19
15.2%
S 12
 
9.6%
E 9
 
7.2%
T 6
 
4.8%
K 5
 
4.0%
C 5
 
4.0%
L 2
 
1.6%
P 2
 
1.6%
Other Punctuation
ValueCountFrequency (%)
/ 53
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 677
90.4%
Common 72
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 83
 
12.3%
e 64
 
9.5%
r 57
 
8.4%
o 55
 
8.1%
i 54
 
8.0%
A 45
 
6.6%
k 28
 
4.1%
m 28
 
4.1%
c 27
 
4.0%
s 24
 
3.5%
Other values (21) 212
31.3%
Common
ValueCountFrequency (%)
/ 53
73.6%
_ 19
 
26.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 749
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 83
 
11.1%
e 64
 
8.5%
r 57
 
7.6%
o 55
 
7.3%
i 54
 
7.2%
/ 53
 
7.1%
A 45
 
6.0%
k 28
 
3.7%
m 28
 
3.7%
c 27
 
3.6%
Other values (23) 255
34.0%
Distinct15
Distinct (%)83.3%
Missing711
Missing (%)97.5%
Memory size29.2 KiB
https://www.nbc.com/
 
2
https://www.cbs.com/
 
2
https://www.bbc.co.uk/bbcone
 
2
https://tv.nova.cz/
 
1
https://www.cwtv.com/
 
1
Other values (10)
 
10
(Missing)
711 
ValueCountFrequency (%)
https://www.nbc.com/ 2
 
0.3%
https://www.cbs.com/ 2
 
0.3%
https://www.bbc.co.uk/bbcone 2
 
0.3%
https://tv.nova.cz/ 1
 
0.1%
https://www.cwtv.com/ 1
 
0.1%
https://www.cbc.ca/ 1
 
0.1%
https://abc.com/ 1
 
0.1%
https://tv3.ru/ 1
 
0.1%
https://www.foxnews.com/ 1
 
0.1%
https://www.tbn.org/ 1
 
0.1%
Other values (5) 5
 
0.7%
(Missing) 711
97.5%
ValueCountFrequency (%)
https 18
 
2.5%
(Missing) 711
97.5%
ValueCountFrequency (%)
www.nbc.com 2
 
0.3%
www.cbs.com 2
 
0.3%
www.bbc.co.uk 2
 
0.3%
tv.nova.cz 1
 
0.1%
www.cwtv.com 1
 
0.1%
www.cbc.ca 1
 
0.1%
abc.com 1
 
0.1%
tv3.ru 1
 
0.1%
www.foxnews.com 1
 
0.1%
www.tbn.org 1
 
0.1%
Other values (5) 5
 
0.7%
(Missing) 711
97.5%
ValueCountFrequency (%)
/ 14
 
1.9%
/bbcone 2
 
0.3%
/all-shows/disney-channel 1
 
0.1%
/tele 1
 
0.1%
(Missing) 711
97.5%
ValueCountFrequency (%)
18
 
2.5%
(Missing) 711
97.5%
ValueCountFrequency (%)
18
 
2.5%
(Missing) 711
97.5%

show_webChannel
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing729
Missing (%)100.0%
Memory size11.4 KiB

show_webChannel_country
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing729
Missing (%)100.0%
Memory size11.4 KiB

show_dvdCountry_name
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing725
Missing (%)99.5%
Memory size28.6 KiB
2025-03-31T08:49:30.773934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length18
Median length15,5
Mean length11.25
Min length7

Characters and Unicode

Total characters45
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowUkraine
2nd rowUnited States
3rd rowRussian Federation
4th rowUkraine
ValueCountFrequency (%)
ukraine 2
33.3%
united 1
16.7%
states 1
16.7%
russian 1
16.7%
federation 1
16.7%
2025-03-31T08:49:30.948864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 6
13.3%
a 5
11.1%
i 5
11.1%
n 5
11.1%
t 4
8.9%
U 3
6.7%
r 3
6.7%
s 3
6.7%
k 2
 
4.4%
d 2
 
4.4%
Other values (6) 7
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 37
82.2%
Uppercase Letter 6
 
13.3%
Space Separator 2
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 6
16.2%
a 5
13.5%
i 5
13.5%
n 5
13.5%
t 4
10.8%
r 3
8.1%
s 3
8.1%
k 2
 
5.4%
d 2
 
5.4%
u 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
U 3
50.0%
S 1
 
16.7%
R 1
 
16.7%
F 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43
95.6%
Common 2
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 6
14.0%
a 5
11.6%
i 5
11.6%
n 5
11.6%
t 4
9.3%
U 3
7.0%
r 3
7.0%
s 3
7.0%
k 2
 
4.7%
d 2
 
4.7%
Other values (5) 5
11.6%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 6
13.3%
a 5
11.1%
i 5
11.1%
n 5
11.1%
t 4
8.9%
U 3
6.7%
r 3
6.7%
s 3
6.7%
k 2
 
4.4%
d 2
 
4.4%
Other values (6) 7
15.6%

show_dvdCountry_code
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing725
Missing (%)99.5%
Memory size28.6 KiB
2025-03-31T08:49:31.013863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters8
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowUA
2nd rowUS
3rd rowRU
4th rowUA
ValueCountFrequency (%)
ua 2
50.0%
us 1
25.0%
ru 1
25.0%
2025-03-31T08:49:31.155258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
U 4
50.0%
A 2
25.0%
S 1
 
12.5%
R 1
 
12.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 8
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 4
50.0%
A 2
25.0%
S 1
 
12.5%
R 1
 
12.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 8
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 4
50.0%
A 2
25.0%
S 1
 
12.5%
R 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 4
50.0%
A 2
25.0%
S 1
 
12.5%
R 1
 
12.5%
Distinct3
Distinct (%)75.0%
Missing725
Missing (%)99.5%
Memory size28.6 KiB
2025-03-31T08:49:31.251853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length13
Min length11

Characters and Unicode

Total characters52
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowEurope/Kyiv
2nd rowAmerica/New_York
3rd rowAsia/Kamchatka
4th rowEurope/Kyiv
ValueCountFrequency (%)
europe/kyiv 2
50.0%
america/new_york 1
25.0%
asia/kamchatka 1
25.0%
2025-03-31T08:49:31.423867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 5
 
9.6%
e 4
 
7.7%
r 4
 
7.7%
i 4
 
7.7%
/ 4
 
7.7%
o 3
 
5.8%
K 3
 
5.8%
p 2
 
3.8%
u 2
 
3.8%
E 2
 
3.8%
Other values (13) 19
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38
73.1%
Uppercase Letter 9
 
17.3%
Other Punctuation 4
 
7.7%
Connector Punctuation 1
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 5
13.2%
e 4
10.5%
r 4
10.5%
i 4
10.5%
o 3
 
7.9%
p 2
 
5.3%
u 2
 
5.3%
y 2
 
5.3%
v 2
 
5.3%
m 2
 
5.3%
Other values (6) 8
21.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
33.3%
E 2
22.2%
A 2
22.2%
N 1
 
11.1%
Y 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 47
90.4%
Common 5
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 5
 
10.6%
e 4
 
8.5%
r 4
 
8.5%
i 4
 
8.5%
o 3
 
6.4%
K 3
 
6.4%
p 2
 
4.3%
u 2
 
4.3%
E 2
 
4.3%
y 2
 
4.3%
Other values (11) 16
34.0%
Common
ValueCountFrequency (%)
/ 4
80.0%
_ 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 5
 
9.6%
e 4
 
7.7%
r 4
 
7.7%
i 4
 
7.7%
/ 4
 
7.7%
o 3
 
5.8%
K 3
 
5.8%
p 2
 
3.8%
u 2
 
3.8%
E 2
 
3.8%
Other values (13) 19
36.5%

show_id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct729
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61887.222
Minimum274
Maximum83730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2025-03-31T08:49:31.520484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum274
5-th percentile12083.6
Q155566
median69847
Q373963
95-th percentile80928.6
Maximum83730
Range83456
Interquartile range (IQR)18397

Descriptive statistics

Standard deviation19450.634
Coefficient of variation (CV)0.31429161
Kurtosis2.0245249
Mean61887.222
Median Absolute Deviation (MAD)6339
Skewness-1.6373435
Sum45115785
Variance3.7832718 × 108
MonotonicityNot monotonic
2025-03-31T08:49:31.613729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75220 1
 
0.1%
51908 1
 
0.1%
59205 1
 
0.1%
59484 1
 
0.1%
72871 1
 
0.1%
73221 1
 
0.1%
73590 1
 
0.1%
73893 1
 
0.1%
73780 1
 
0.1%
53123 1
 
0.1%
Other values (719) 719
98.6%
ValueCountFrequency (%)
274 1
0.1%
703 1
0.1%
718 1
0.1%
729 1
0.1%
793 1
0.1%
802 1
0.1%
812 1
0.1%
875 1
0.1%
920 1
0.1%
938 1
0.1%
ValueCountFrequency (%)
83730 1
0.1%
83726 1
0.1%
83717 1
0.1%
83715 1
0.1%
83688 1
0.1%
83666 1
0.1%
83588 1
0.1%
83539 1
0.1%
83496 1
0.1%
83491 1
0.1%

Interactions

2025-03-31T08:49:20.147848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:12.919401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:13.660237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-03-31T08:49:18.990259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-03-31T08:49:20.421361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:13.250866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:13.984403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-03-31T08:49:17.484923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:18.290143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:19.055131image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:19.749521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:20.493689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:13.309897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-03-31T08:49:15.466507image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:16.960223image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:17.637541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:18.450511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:19.200689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:19.876527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:20.612504image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:13.426935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:14.202705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:14.883363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:15.532792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:17.034306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:17.713464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:18.538110image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:19.298481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:19.940362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:20.673773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:13.504394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:14.276517image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:14.954884image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:15.600142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:17.099045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:17.790502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:18.610546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:19.361624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:20.011955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:20.748056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:13.577850image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:14.344588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:15.015813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:15.663346image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:17.163261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:17.866380image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:18.690051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:19.431594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-03-31T08:49:20.078437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-03-31T08:49:31.684860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
show_average_runtimeshow_idshow_languageshow_network_country_codeshow_network_country_nameshow_network_country_timezoneshow_network_idshow_rating_averageshow_runtimeshow_statusshow_thetvdbshow_tvrageshow_typeshow_updatedshow_webChannel_country_codeshow_webChannel_country_nameshow_webChannel_country_timezoneshow_webChannel_idshow_weight
show_average_runtime1.000-0.0790.0000.3950.3950.395-0.2540.0100.9940.091-0.0970.0560.2860.0190.1260.1260.1260.1660.145
show_id-0.0791.0000.1010.0000.0000.0000.257-0.2140.0000.2020.8110.2140.173-0.2080.1870.1870.1870.210-0.545
show_language0.0000.1011.0000.9440.9440.9440.4070.0000.1420.3650.1010.4930.2090.1640.8900.8900.8900.4070.111
show_network_country_code0.3950.0000.9441.0001.0001.0000.2880.0000.2590.5830.3811.0000.2670.2371.0001.0001.0000.3320.267
show_network_country_name0.3950.0000.9441.0001.0001.0000.2880.0000.2590.5830.3811.0000.2670.2371.0001.0001.0000.3320.267
show_network_country_timezone0.3950.0000.9441.0001.0001.0000.2880.0000.2590.5830.3811.0000.2670.2371.0001.0001.0000.3320.267
show_network_id-0.2540.2570.4070.2880.2880.2881.0000.505-0.2050.0000.126-1.0000.000-0.4060.4410.4410.4410.041-0.490
show_rating_average0.010-0.2140.0000.0000.0000.0000.5051.0000.0050.193-0.235-0.1790.0980.2770.0400.0400.0400.0050.177
show_runtime0.9940.0000.1420.2590.2590.259-0.2050.0051.0000.000-0.151-0.2110.2990.0710.0000.0000.0000.3920.076
show_status0.0910.2020.3650.5830.5830.5830.0000.1930.0001.0000.2240.0000.3690.3200.4480.4480.4480.1540.148
show_thetvdb-0.0970.8110.1010.3810.3810.3810.126-0.235-0.1510.2241.0000.9360.191-0.3960.1250.1250.1250.053-0.394
show_tvrage0.0560.2140.4931.0001.0001.000-1.000-0.179-0.2110.0000.9361.0000.316-0.0250.4240.4240.4240.292-0.187
show_type0.2860.1730.2090.2670.2670.2670.0000.0980.2990.3690.1910.3161.0000.1350.2710.2710.2710.2280.097
show_updated0.019-0.2080.1640.2370.2370.237-0.4060.2770.0710.320-0.396-0.0250.1351.0000.1470.1470.1470.0490.276
show_webChannel_country_code0.1260.1870.8901.0001.0001.0000.4410.0400.0000.4480.1250.4240.2710.1471.0001.0001.0000.5500.120
show_webChannel_country_name0.1260.1870.8901.0001.0001.0000.4410.0400.0000.4480.1250.4240.2710.1471.0001.0001.0000.5500.120
show_webChannel_country_timezone0.1260.1870.8901.0001.0001.0000.4410.0400.0000.4480.1250.4240.2710.1471.0001.0001.0000.5500.120
show_webChannel_id0.1660.2100.4070.3320.3320.3320.0410.0050.3920.1540.0530.2920.2280.0490.5500.5500.5501.000-0.158
show_weight0.145-0.5450.1110.2670.2670.267-0.4900.1770.0760.148-0.394-0.1870.0970.2760.1200.1200.120-0.1581.000

Missing values

2025-03-31T08:49:20.900841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-03-31T08:49:21.144646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-03-31T08:49:21.520960image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

imagesummaryshow_urlshow_nameshow_typeshow_languageshow_genresshow_statusshow_runtimeshow_average_runtimeshow_premieredshow_endedshow_official_siteshow_schedule_timeshow_schedule_daysshow_rating_averageshow_weightshow_networkshow_webChannel_idshow_webChannel_nameshow_webChannel_country_nameshow_webChannel_country_codeshow_webChannel_country_timezoneshow_webChannel_officialSite_embedded.show.dvdCountryshow_tvrageshow_thetvdbshow_imdbshow_image_mediumshow_image_originalshow_summaryshow_updatedshow_self_hrefshow_previousepisode_hrefshow_previousepisode_nameshow_imageshow_nextepisode_hrefshow_nextepisode_nameimage.mediumimage.originalshow_network_idshow_network_nameshow_network_country_nameshow_network_country_codeshow_network_country_timezoneshow_network_official_siteshow_webChannelshow_webChannel_countryshow_dvdCountry_nameshow_dvdCountry_codeshow_dvdCountry_timezoneshow_id
0NaNNonehttps://www.tvmaze.com/shows/51908/neznostНежностьScriptedRussian[Drama, Comedy, Romance]EndedNaN19.02020-11-122024-01-01https://www.ivi.ru/watch/nezhnost[]NaN41NaN337.0ИвиRussian FederationRUAsia/Kamchatkahttps://www.ivi.ru/NoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/282/707449.jpghttps://static.tvmaze.com/uploads/images/original_untouched/282/707449.jpgNone1704215354https://api.tvmaze.com/shows/51908https://api.tvmaze.com/episodes/2730595Серия 10NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN51908
10NaNNonehttps://www.tvmaze.com/shows/59205/predposlednaa-instanciaПредпоследняя инстанцияScriptedRussian[Drama, Comedy, Supernatural]EndedNaN26.02022-01-012024-01-08https://okko.tv/serial/predposlednjaja-instancija[Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday]NaN58NaN366.0OkkoRussian FederationRUAsia/Kamchatkahttps://okko.tv/NoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/388/970660.jpghttps://static.tvmaze.com/uploads/images/original_untouched/388/970660.jpgNone1704783571https://api.tvmaze.com/shows/59205https://api.tvmaze.com/episodes/2719129Серия 30NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN59205
12NaNNonehttps://www.tvmaze.com/shows/59484/manunaМанюняScriptedRussian[Comedy, Adventure, Children]RunningNaN20.02021-12-15Nonehttps://okko.tv/serial/manjunja[Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday]6.332NaN366.0OkkoRussian FederationRUAsia/Kamchatkahttps://okko.tv/NoneNaN413379.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/383/957782.jpghttps://static.tvmaze.com/uploads/images/original_untouched/383/957782.jpgNone1703404987https://api.tvmaze.com/shows/59484https://api.tvmaze.com/episodes/2718223Серия 10NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN59484
13NaNNonehttps://www.tvmaze.com/shows/72871/nedetskoe-kinoНедетское киноScriptedNone[Comedy, Fantasy]RunningNaNNaN2024-01-01Nonehttps://wink.ru/series/ne-detskoe-kino-year-2023?ysclid=lpbaiai0cw654763598[]NaN3NaN541.0WinkRussian FederationRUAsia/KamchatkaNoneNoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/488/1221089.jpghttps://static.tvmaze.com/uploads/images/original_untouched/488/1221089.jpgNone1704019326https://api.tvmaze.com/shows/72871https://api.tvmaze.com/episodes/2692657Серия 12NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN72871
25NaNNonehttps://www.tvmaze.com/shows/73221/uspesnyjУспешныйScriptedRussian[Comedy]RunningNaNNaN2024-01-01Nonehttps://kion.ru/video/serial/822094895/season/822095042/episode/822094715[]NaN7NaN423.0KIONRussian FederationRUAsia/Kamchatkahttps://kion.ru/NoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/496/1241006.jpghttps://static.tvmaze.com/uploads/images/original_untouched/496/1241006.jpg<p>30-year-old Sasha is a serial loser trying with all his might to become a successful business coach. Fate leads him to billionaire Oleg Kalugin, who decides to hire the resilient dreamer as a coach. However, Kalugin does not need advice on business, which the guy knows nothing about, but the secret of his ability to sincerely enjoy life despite poverty and other problems. From this moment, drastic changes begin in Sasha's life, which show the real price of success. Step by step, he moves further and further away from happiness, plunging into the world of deception, betrayal, hatred and really big, but dirty money.</p>1735808422https://api.tvmaze.com/shows/73221https://api.tvmaze.com/episodes/3098220Серия 10NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN73221
33NaN<p>Lovers Alyona and Zakhar are preparing for the wedding, but she is tormented by doubts. The groom arranges a bachelor party for friends Igor, Yura and Max.</p>https://www.tvmaze.com/shows/73590/kak-druza-zahara-zeniliКак друзья Захара женилиScriptedNone[Comedy]EndedNaN26.02024-01-012024-02-06None[]NaN19NaN366.0OkkoRussian FederationRUAsia/Kamchatkahttps://okko.tv/NoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/495/1237905.jpghttps://static.tvmaze.com/uploads/images/original_untouched/495/1237905.jpgNone1707351592https://api.tvmaze.com/shows/73590https://api.tvmaze.com/episodes/2730985Серия 17NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN73590
35NaNNonehttps://www.tvmaze.com/shows/73893/imperatricyИмператрицыDocumentaryNone[Drama, History]EndedNaN39.02024-01-012024-01-01https://premier.one/show/imperatritsy-mini-serial[]NaN4NaN281.0PremierRussian FederationRUAsia/Kamchatkahttps://premier.one/NoneNaNNaNNoneNaNNaNNone1705416247https://api.tvmaze.com/shows/73893https://api.tvmaze.com/episodes/2743354ТриумфNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN73893
40NaN<p>Lulin's astrawave powers arrive with a bang, blowing up her team's science project, and her friend, Spider, gets eaten by a giant alien plant!</p><p> </p><p><br /> </p>https://www.tvmaze.com/shows/73780/planet-lulinPlanet LulinScriptedEnglish[Children, Fantasy, Science-Fiction]To Be DeterminedNaN22.02024-01-01Nonehttps://iview.abc.net.au/show/planet-lulin[]NaN55NaN149.0ABC iviewAustraliaAUAustralia/Sydneyhttps://iview.abc.net.au/NoneNaN444536.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/498/1246029.jpghttps://static.tvmaze.com/uploads/images/original_untouched/498/1246029.jpg<p>Lulin wasn't expecting to develop alien powers, or intergalactic invaders to crash her school science comp, but hey, Year 6 is full of surprises!</p>1705107854https://api.tvmaze.com/shows/73780https://api.tvmaze.com/episodes/2732803The VoidNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN73780
50NaNNonehttps://www.tvmaze.com/shows/55019/supreme-god-emperorSupreme God EmperorAnimationChinese[Adventure, Anime, Fantasy]RunningNaN10.02020-05-18Nonehttps://v.qq.com/x/search/?q=无上神帝&stag=&smartbox_ab=10:00[Monday, Friday]NaN78NaN104.0Tencent QQChinaCNAsia/Shanghaihttps://v.qq.com/NoneNaN388383.0tt20603062https://static.tvmaze.com/uploads/images/medium_portrait/311/778540.jpghttps://static.tvmaze.com/uploads/images/original_untouched/311/778540.jpg<p>Ten thousand years ago, Muyun's fairy King was secretly accounted for by holding a Zhuxian figure, and after a long sleep, he awakened in the famous "Muyun waste" of the southern Yun Empire in the Land of Heaven. When Muyun first woke up, he was deliberately bothered by the student Miaoxianyu. Muyun easily completed the Miaoxianyu trap, and he gave more and more alchemy skills by analogy, so the Alchemy masters outside the door could not ask for appreciation. Endless back home, Mu Yun learns that he is about to marry Nona Qin Qin Mengyao. Qin Mengyao was cold and toxic, but could not live until he was 20 years old. The marriage was only for the sake of pastoralists and family of Qin. However, under Mu Linchen's enticement, Mu Yun approves the family's issue on the condition of alchemy.</p><p><br /> </p>1739374185https://api.tvmaze.com/shows/55019https://api.tvmaze.com/episodes/3145311Episode 470NaNhttps://api.tvmaze.com/episodes/3145312Episode 471NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN55019
51NaNNonehttps://www.tvmaze.com/shows/62143/against-the-sky-supremeAgainst the Sky SupremeAnimationChinese[Action, Adventure, Anime, Fantasy]RunningNaN7.02021-07-09Nonehttps://v.qq.com/x/cover/mzc00200azkttu2.html10:00[Monday, Friday]7.844NaN104.0Tencent QQChinaCNAsia/Shanghaihttps://v.qq.com/NoneNaN406729.0tt15816496https://static.tvmaze.com/uploads/images/medium_portrait/409/1023562.jpghttps://static.tvmaze.com/uploads/images/original_untouched/409/1023562.jpg<p>The former mighty Gods of the heavens, after ten thousand lifetimes of reincarnation tragically destroyed! The cruel curse, the hatred of ten thousand lives, Tan Yun determined, no longer sink! The most important thing is that you have to be able to get to the top of the world, step by step, stepping on the corpses of your enemies! To kill against the sky, across all the worlds, only I am the supreme!</p>1738619115https://api.tvmaze.com/shows/62143https://api.tvmaze.com/episodes/3135345Episode 397NaNhttps://api.tvmaze.com/episodes/3135346Episode 398NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN62143
imagesummaryshow_urlshow_nameshow_typeshow_languageshow_genresshow_statusshow_runtimeshow_average_runtimeshow_premieredshow_endedshow_official_siteshow_schedule_timeshow_schedule_daysshow_rating_averageshow_weightshow_networkshow_webChannel_idshow_webChannel_nameshow_webChannel_country_nameshow_webChannel_country_codeshow_webChannel_country_timezoneshow_webChannel_officialSite_embedded.show.dvdCountryshow_tvrageshow_thetvdbshow_imdbshow_image_mediumshow_image_originalshow_summaryshow_updatedshow_self_hrefshow_previousepisode_hrefshow_previousepisode_nameshow_imageshow_nextepisode_hrefshow_nextepisode_nameimage.mediumimage.originalshow_network_idshow_network_nameshow_network_country_nameshow_network_country_codeshow_network_country_timezoneshow_network_official_siteshow_webChannelshow_webChannel_countryshow_dvdCountry_nameshow_dvdCountry_codeshow_dvdCountry_timezoneshow_id
4885NaN<p>The cast of Cherry Magic join Off and Gun to discuss their series and sleeping habits. </p>https://www.tvmaze.com/shows/34499/off-gun-fun-nightOff Gun Fun NightTalk ShowThai[Drama, Comedy]EndedNaN23.02017-11-122024-01-31https://tv.line.me/offgunfunnight?lang=th_TH[]NaN34NaN88.0LINE TVNaNNaNNaNhttps://www.linetv.tw/NoneNaN347036.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/143/357788.jpghttps://static.tvmaze.com/uploads/images/original_untouched/143/357788.jpg<p>A monthly talk show where Off and Gun host a special guest and a lot of fun and laughs ensue. Airs every 12th of the month.</p>1706727249https://api.tvmaze.com/shows/34499https://api.tvmaze.com/episodes/2730513OffGun Fun Night: Special with Tay, New, Junior, and MarkNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/502/1255611.jpghttps://static.tvmaze.com/uploads/images/original_untouched/502/1255611.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN34499
4887NaNNonehttps://www.tvmaze.com/shows/40868/gods-school-the-olympian-godsGods' School: The Olympian GodsAnimationEnglish[]Running15.013.02019-01-31Nonehttps://www.youtube.com/channel/UC4E060sRvClagErOdYZZjVA[Saturday]NaN37NaN21.0YouTubeNaNNaNNaNhttps://www.youtube.comNoneNaN355452.0tt8929826https://static.tvmaze.com/uploads/images/medium_portrait/182/456799.jpghttps://static.tvmaze.com/uploads/images/original_untouched/182/456799.jpg<p>Mount Olympus is the divine sanctuary created by the Titans for the young gods and goddesses, Among the young immortals, one young goddess, Eris, is a black sheep. She has an horrible reputation, she doesn't fit the high standards of Mount Olympus and she is is being avoid like the plague. But her meeting with a mortal is going to change her divine destiny.</p>1706859211https://api.tvmaze.com/shows/40868https://api.tvmaze.com/episodes/2761121Episode 8 - Hera and ZeusNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN40868
4892NaN<p>Join us on a revealing journey behind-the-scenes of Maya Lopez's own groundbreaking series. Witness how the production took unprecedented steps to portray the deaf experience, and Native American culture truthfully. Spend time with powerhouse actor Vincent D'Onofrio as he brings the Kingpin to monstrous life once again. All this and more waits to be discovered in "Assembled: The Making of Echo."</p>https://www.tvmaze.com/shows/53613/marvel-studios-assembledMarvel Studios: AssembledDocumentaryEnglish[]RunningNaN57.02021-03-12Nonehttps://disneyplus.com/series/marvel-studios-assembled/3RUQKboZV3FF[]7.991NaN287.0Disney+NaNNaNNaNhttps://www.disneyplus.com/NoneNaN396948.0tt14094206https://static.tvmaze.com/uploads/images/medium_portrait/297/742558.jpghttps://static.tvmaze.com/uploads/images/original_untouched/297/742558.jpg<p><b>Marvel Studios: Assembled</b> is a comprehensive documentary series streaming on Disney+ that chronicles the creation of Marvel Studios' thrilling new shows and theatrical releases. Journey behind-the-scenes of productions such as <i>WandaVision</i>, <i>The Falcon and the Winter Soldier</i>, and <i>Loki</i> via exclusive on-set footage. <i>Assembled</i> is an immersive, and in-depth examination of the next phase of the Marvel Cinematic Universe.</p>1740065413https://api.tvmaze.com/shows/53613https://api.tvmaze.com/episodes/3081475The Making of Agatha All Along'NaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/502/1255646.jpghttps://static.tvmaze.com/uploads/images/original_untouched/502/1255646.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN53613
4899NaN<p>Host Maja Bohosiewicz welcomes six new couples to the villa. The results of the first round of lie detector questions are revealed on the first night.</p>https://www.tvmaze.com/shows/66629/love-never-lies-polskaLove Never Lies: PolskaRealityPolish[Romance]To Be DeterminedNaN51.02023-01-25Nonehttps://www.netflix.com/title/81582706[]NaN47NaN1.0NetflixNaNNaNNaNhttps://www.netflix.com/NoneNaN430211.0tt25377596https://static.tvmaze.com/uploads/images/medium_portrait/443/1109090.jpghttps://static.tvmaze.com/uploads/images/original_untouched/443/1109090.jpg<p>Six couples test their trust with an eye-scanning lie detector in this reality series where deception costs money, and the truth comes with a prize.</p>1741648633https://api.tvmaze.com/shows/66629https://api.tvmaze.com/episodes/3160261The ReunionNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/502/1255437.jpghttps://static.tvmaze.com/uploads/images/original_untouched/502/1255437.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN66629
4915NaN<p>After their success on "America's Got Talent" can the DYC continue growing to reach their potential?</p>https://www.tvmaze.com/shows/73378/choirChoirDocumentaryEnglish[Family, Music]RunningNaN46.02024-01-31Nonehttps://www.disneyplus.com/series/choir/2ZObNbv5pKlj[]NaN31NaN287.0Disney+NaNNaNNaNhttps://www.disneyplus.com/NoneNaN443679.0tt28080721https://static.tvmaze.com/uploads/images/medium_portrait/500/1251455.jpghttps://static.tvmaze.com/uploads/images/original_untouched/500/1251455.jpg<p><b>Choir</b> follows the kids of the Detroit Youth Choir as they prepare for the performance of a lifetime. Through their eyes, we experience the highs and lows of life growing up in Detroit, navigating the challenges of balancing family, school, and athletics, all while pursuing their dreams of taking their talents to the next level and performing on one of the world's biggest stages. Following their 2019 appearance on America's Got Talent, it's a pivotal time for the choir and its director, Anthony White, as he's faced with the combined challenges of replacing several key members, keeping the choir relevant in Detroit, and finding the next big opportunity that will put them back in the national spotlight.</p>1706780799https://api.tvmaze.com/shows/73378https://api.tvmaze.com/episodes/2711948Primetime ReadyNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/502/1255449.jpghttps://static.tvmaze.com/uploads/images/original_untouched/502/1255449.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN73378
4921NaN<p>The Butchers' plan to pull off a millionaire heist falls into Kevin's hands. Génesis and Kevin meet at a skateboarding park — and sparks fly.</p>https://www.tvmaze.com/shows/73413/baby-banditoBaby BanditoScriptedSpanish[Drama, Crime, Thriller]EndedNaN38.02024-01-312024-01-31https://www.netflix.com/title/81619198[]5.342NaN1.0NetflixNaNNaNNaNhttps://www.netflix.com/NoneNaN444012.0tt27997713https://static.tvmaze.com/uploads/images/medium_portrait/492/1232077.jpghttps://static.tvmaze.com/uploads/images/original_untouched/492/1232077.jpg<p>After skater Kevin and his crew pull off Chile's biggest heist, reckless love –and social media– threatens everyone's fortunes. Inspired by true events.</p>1706822844https://api.tvmaze.com/shows/73413https://api.tvmaze.com/episodes/2759361Más vale tener amigos que plataNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/502/1255422.jpghttps://static.tvmaze.com/uploads/images/original_untouched/502/1255422.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN73413
4931NaN<p>After a violent murder, a young Alexander ascends the throne of Macedonia and takes up arms against the mighty Persian Empire, ruled by Darius III.</p>https://www.tvmaze.com/shows/73714/alexander-the-making-of-a-godAlexander: The Making of a GodDocumentaryEnglish[History]EndedNaN39.02024-01-312024-01-31https://www.netflix.com/title/81325194[]6.188NaN1.0NetflixNaNNaNNaNhttps://www.netflix.com/NoneNaN444188.0tt27494999https://static.tvmaze.com/uploads/images/medium_portrait/502/1255464.jpghttps://static.tvmaze.com/uploads/images/original_untouched/502/1255464.jpg<p>Combining expert interviews with gripping reenactments, this docudrama explores the life of Alexander the Great through his conquest of the Persian Empire.</p>1707151653https://api.tvmaze.com/shows/73714https://api.tvmaze.com/episodes/2729748A World Still to ConquerNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/502/1255416.jpghttps://static.tvmaze.com/uploads/images/original_untouched/502/1255416.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN73714
4941NaNNonehttps://www.tvmaze.com/shows/74390/fighting-for-loveFighting for LoveScriptedChinese[Action, Romance, War]EndedNaN45.02024-01-312024-02-21https://www.iqiyi.com/v_26mc92p2eag.html[Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday]NaN13NaN67.0iQIYINaNNaNNaNhttps://www.iq.com/NoneNaN439696.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/502/1255381.jpghttps://static.tvmaze.com/uploads/images/original_untouched/502/1255381.jpg<p>The story follows Amai, a female general of the founding era of the Southern Xia dynasty, who discards her feminine attire and dons battle armor, enduring hardships to become a legendary female warrior. Amai (Zhang Tianai), the daughter of the Duke of Jingguo in Southern Xia, witnesses her entire family being killed by her childhood friend Chen Qi. Years later, Amai, now a young girl, disguises herself as a man and roams the martial world, seeking revenge against Chen Qi. Through a series of coincidences, Amai saves Shang Yizhi (Zhang Haowei), the son of the Grand Princess, and subsequently helps him escape from dangerous situations multiple times, intertwining their destinies. As war breaks out, Amai sheds her feminine attire and joins the military, becoming an infantry soldier. With her exceptional military talents, she achieves remarkable feats and rises to the rank of General Mai. Alongside this, she assists Shang Yizhi, who is hunted and faces difficulties, in finding his true self and accomplishing great deeds. On the battlefield, Amai repeatedly clashes with General Chang Yuqing (Wang Ruichang) from the enemy forces. Despite their confrontations, they unintentionally go through life-and-death situations together, developing a mutual understanding and respect. However, faced with the brutality of war, Amai willingly sets aside personal attachments and uses her youth and fervor to defend her army. Eventually, after the war's victory, Amai leaves the military, returns to her female identity, retreats from the world, and ultimately finds her own happiness.</p>1708493403https://api.tvmaze.com/shows/74390https://api.tvmaze.com/episodes/2759394Episode 36NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN74390
4956NaN<p>Welcome to Hot Ones Versus! On this brand new, Hot Ones spinoff series, guests have two choices: Tell the truth, or suffer the wrath of the Last Dab. Whoever eats the most wings, loses! </p><p>On the premiere episode, standup comedian Gabriel Iglesias faces off against friend and Sons of Anarchy actor Emilio Rivera. From the one joke that would get him canceled, to the massive fine he had to cough up after performing at Dodger Stadium, Gabe will either need to get honest, or do battle with the Wings of Death. Will Emilio beat Fluffy in a staring contest and take home the gold-plated chicken wing trophy? Tune in to the hilarious premiere of Hot Ones Versus and find out!</p>https://www.tvmaze.com/shows/78088/hot-ones-versusHot Ones VersusTalk ShowEnglish[Food]RunningNaN15.02024-01-31Nonehttps://www.youtube.com/playlist?list=PLAzrgbu8gEMKThlhJv0ftFDvsumn0f-HN[]NaN46NaN21.0YouTubeNaNNaNNaNhttps://www.youtube.comNoneNaNNaNtt31323246https://static.tvmaze.com/uploads/images/medium_portrait/525/1313265.jpghttps://static.tvmaze.com/uploads/images/original_untouched/525/1313265.jpg<p>"Hot Ones" spin-off series where guests have two choices: Tell the truth, or suffer the wrath of the Last Dab. Whoever eats the most wings, loses.</p>1742525809https://api.tvmaze.com/shows/78088https://api.tvmaze.com/episodes/3179559Asif Ali vs. Poorna Jagannathan vs. Saagar ShaikhNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/558/1396046.jpghttps://static.tvmaze.com/uploads/images/original_untouched/558/1396046.jpgNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN78088
4970NaN<p>Sue returns to UConn where she became a college basketball legend. She meets up with her former coach, Geno Auriemma, to learn about UConn's agricultural history with some udderly surprising guests. She then meets up with current Huskies Paige Bueckers and Azzi Fudd to get the inside scoop on the team.</p>https://www.tvmaze.com/shows/75220/sues-placesSue's PlacesTalk ShowEnglish[Sports]RunningNaNNaN2024-01-31Nonehttps://www.espn.com/watch/series/0b15b405-50b7-4e8b-a553-cfee4ef2a89d/sues-places[Wednesday]NaN9NaN265.0ESPN+United StatesUSAmerica/New_YorkNoneNoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/507/1269695.jpghttps://static.tvmaze.com/uploads/images/original_untouched/507/1269695.jpg<p>UConn legend Sue Bird explores the rich history, traditions and seminal moments of men's and women's college basketball.</p>1710010766https://api.tvmaze.com/shows/75220https://api.tvmaze.com/episodes/2792942Oop DreamsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN75220